Prosecution Insights
Last updated: August 18, 2026
Application No. 18/667,955

DUAL VIEW FOR MULTIPLE SERIES OF IVUS IMAGES

Non-Final OA §101§102§112§DOUBLEPATENT
Filed
May 17, 2024
Priority
May 17, 2023 — provisional 63/502,859 +1 more
Examiner
KLEIN, BROOKE L
Art Unit
3797
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Boston Scientific Corporation
OA Round
3 (Non-Final)
53%
Grant Probability
Moderate
3-4
OA Rounds
11m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 53% of resolved cases
53%
Career Allowance Rate
111 granted / 210 resolved
-17.1% vs TC avg
Strong +55% interview lift
Without
With
+54.6%
Interview Lift
resolved cases with interview
Typical timeline
3y 2m
Avg Prosecution
44 currently pending
Career history
265
Total Applications
across all art units

Statute-Specific Performance

§101
8.3%
-31.7% vs TC avg
§103
39.7%
-0.3% vs TC avg
§102
16.1%
-23.9% vs TC avg
§112
33.8%
-6.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 210 resolved cases

Office Action

§101 §102 §112 §DOUBLEPATENT
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 04/01/2026 has been entered. Response to Arguments Regarding claim objections Examiner notes that no amendments are made to claim 3 nor are any arguments presented with respect to the claim objection. The claim objection is thereby maintained. New claim objection to claim 19 upon further consideration. Regarding 35 U.S.C. 112 New 112(b) rejections necessitated by amendment. Regarding 35 U.S.C. 101 Applicant's arguments filed 04/01/2026 with respect to 101 have been fully considered but they are not persuasive. For example, applicant argues “a human, even with the aid of pen and paper, cannot practically review multiple IVUS runs and identify a mapping that includes mapping between the two runs that would align the runs angularly as claimed” (REMARKS pg. 2). Examiner respectfully disagrees in that first there are no recitations in the independent claims regarding a mapping between the two runs that would align the runs angularly. Specifically, it is noted that claims 1 and 14 do not have any recitations that specify the mapping thus the nature of the mapping is broadly recited. Examiner notes that while claim 19 and claims 3 and 15 recite an angular offset, there is no specificity that the mapping is a mapping that would align the runs angularly. Nonetheless, examiner notes that applicant’s arguments are merely conclusory without any evidence nor explanation as to why a person having ordinary skill in the art could not identify such a mapping that includes an angular offset or that would “align the runs angularly” as argued by applicant. Applicant arguments do not replace evidence where evidence is necessary (MPEP 2145). It is noted that the claim is broadly recited such that a person could reasonably identify a mapping (including an angular and/or longitudinal offset as required by claims 19 and 3) by evaluating the images themselves (where the claim recites a plurality of images thus only requires two images thus a person could observe two images from each series to determine a mapping accordingly) or could determination the mapping in the way the probe/transducer is manipulated during the acquisition, the claim does not recite the manner in which the angular offset is determined which would preclude a person having ordinary skill in the art from determining such a mapping. Therefore, examiner notes that determination of an angular offset between the first plurality of images and the second plurality of images could reasonably be performed by a human as previously set forth and applicant’s arguments are not found persuasive. Applicant further argues “Independent claims 1, 14, and 19 integrate the alleged judicial exceptions into a practical application of a system to that presents a GUI where multiple IVUS runs are aligned” and points to paragraph [0053] of the originally filed specification and further argues “this provides an improvement to intravascular ultrasound imaging technology in that a GUI can be presented where multiple runs are viewed in alignment” and that the generating of the GUI is “not merely ‘insignificant post-solution activity’ but is instead the entire focus of the claimed activity, which is to present aligned IVUS runs to a physician to enable the physician ‘ to observe a more direct understanding of their treatment of the vessel, for example, by observing the difference in lesion properties with a side-by-side comparison” (REMARKS pg. 2-4). It is noted that the features upon which applicant relies (i.e., a GUI where multiple IVUS runs are aligned) are not recited in the rejected claim(s). Although the claims are interpreted in light of the specification, limitations from the specification are not read into the claims. See In re Van Geuns, 988 F.2d 1181, 26 USPQ2d 1057 (Fed. Cir. 1993). In this case, it is noted that the claim merely recites “generating… a graphical user interface (GUI), the GUI comprising indications of the first series of IVUS images and the second series of IVUS images based on the mapping between the first plurality of frames and the second plurality of frames”. Such generating of a GUI comprising indications of the images does not require multiple IVUS runs to be aligned and does not require the GUI to include the images at all but rather indications of the images and based on the mapping does not require any aligning of images. Furthermore, it is noted that aligning/correlating indications/images based on the offsets as recited in dependent claims 4-5 amongst others is broadly recited and merely requires the images to be physically aligned without specifically reciting the nature of alignment/correlation and how it is based on the angular/longitudinal offsets. For at least the reasons listed above, applicant’s arguments are not found persuasive. Regarding Double Patenting Applicant's arguments filed 04/01/2026 have been fully considered but they are not persuasive. For example, applicant argues “the rejection is premature and applicant respectfully request that it be held in abeyance until at least one of the rejected claims is allowed by the Office” (REMARKS pg. 7). Examiner respectfully notes that such a request is not considered a complete response to a provisional nonstatutory double patenting rejection (See MPEP 804.I.1). Specifically a complete response is either a reply by applicant showing that the claims subject to the rejection are patentably distinct from the reference claims, or the filing of a terminal disclaimer in accordance with 37 CFR 1.321 and is required even when the nonstatutory double patenting rejection is provisional. Such a filing should not be held in abeyance (See MPEP 804.I.1). The provisional non-statutory double patenting rejection is maintained/updated in view of the amendments to the claims as no terminal disclaimer has been provided and no arguments are specifically made against the rejection which may be considered for withdrawal of the rejection. Regarding prior art Applicant's arguments filed 04/01/2026 have been fully considered but they are not persuasive. For example, applicant argues “Sakaguchi arguably teaches to determine a mapping. However, Sakagushi does not teach to determine offsets for different sections of the run as claims. For the reasons outline above, the reference fails to identically disclose at least the above emphasized language of claim 1” (REMARKS pg. 5). Examiner respectfully disagrees in that applicant’s arguments are merely conclusory without taking into account the cited portion of pg. 14 of Sakaguchi which discloses when there are multiple sets of representative frame images, the processing unit 31 calculates the distance between each representative frame image, finely adjusts the longitudinal position of the IVUS image P1 so that the sum of the distances is the minimum, and takes appropriate action and further discloses For example, the processing unit 31 calculates the difference between the central angle of the calcified site image included in the representative frame image before processing and the central angle of the calcified site image included in the corresponding representative frame image after treatment. Then, the processing unit 31 similarly calculates the difference in center angle for the other representative frame images. Examiner notes that multiple sets of representative frame images and the sum of the distances (i.e. plural) makes clear that offsets/mappings of different sections (i.e. where each representative frame image of the multiple sets of representative frame images) are determined. Applicant’s arguments that the cited features are not taught by Sakaguchi are therefore not found persuasive. Claim Objections Claims 3 and 19 are objected to because of the following informalities: Claim 3 recites the limitation “the one of the first plurality of frames and the one of the second plurality of frames”, however, the limitation should read –[[the]] one of the first plurality of frames and [[the]] one of the second plurality of frames—as these elements are not previously set forth in claim 1. Claim 19 recites “and a longitudinal”, however, it should read –a longitudinal offset—for enhanced clarity. Appropriate correction is required. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-12 and 14-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception in the form of an abstract idea without significantly more. In a test for patent subject matter eligibility, the claims pass Step 1 (see 2019 Revised Patent Subject Matter Eligibility), as they are related to a process, machine, manufacture, or composition of matter. When assessed under Step2A, Prong I, Independent claims 1, 14, and 19 are found to recite a judicial exception (i.e. abstract idea). In this instance, claims 1, 14, and 19 recite the limitations “determine/determining a mapping between the first plurality of frames and the second plurality of frames”, wherein the mapping comprises a first mapping between a first group of the first plurality of frames and a first group of the second plurality of frames and a second mapping between a second group of the first plurality of frames and a second group of the second plurality of frames” and claim 19 further recites “wherein the mapping comprises a longitudinal offset and an angular offset” . The cited limitations, under their broadest reasonable interpretation, encompass a mental process (i.e. abstract idea) of determining a mapping including a first mapping and a second mapping which can be performed in the mind or by a human using a pen and a paper (e.g. observation, evaluation, judgment, opinion). In other words, a person could reasonably evaluate a set of images and/or data associated therewith (e.g. position, angle, etc. of the imaging device) and determine mappings therebetween of two different groups of data including longitudinal and angular offsets between the two such as a distance/orientation between features or other types of mapping. Examiner notes that with the exception of generic computer-implemented steps (e.g. processor recited in claims 14 and 19), there is nothing in the claims that preclude the limitation from being performed by a human, mentally or with pen and paper, thus the cited limitation(s) recites a judicial exception (MPEP 2106.04(a)) and the claim must be reviewed under Step 2A, Prong II to determine patent eligibility. Step 2A, Prong II determines whether any claim recites an additional element that integrates the judicial exception into a practical application. Independent claims recites the following additional element(s): Receive/receiving a first series of intravascular ultrasound (IVUS) images of a vessel of a patient, the first series of IVUS images comprising a first plurality of frames; Receive/receiving a second series of intravascular ultrasound (IVUS) images of the vessel of the patient, the second series of IVUS images comprising a second plurality of frames; Generate a graphical user interface (GUI), the GUI comprising indications of the first series of IVUS images and the second series of IVUS images based on the mapping between the first plurality of frames and the second plurality of frames. A memory A processor The additional elements in the cited independent claims are not found to integrate the judicial exception into a practical application. In this case, a memory and a processor are merely generic components of an IVUS system, receiving a first and second series of intravascular ultrasound images is considered merely insignificant extra-solution activity of data gathering in the field of intravascular ultrasound and generating a graphical user interface (GUI) comprising indications of the first series of IVUS images and the second series of IVUS images is considered merely insignificant extra-solution activity of displaying data (e.g. the first and second series of IVUS images or indications thereof) where based on the mapping is broadly recited and merely requires the GUI to include the indications after a determination of the mapping. These elements are seen as adding insignificant extra-solution activity to the judicial exception. They do no more than link the judicial exception to a particular technological environment or field of use. Therefore, under step 2A Prong II the Judicial exception is not integrated into a practical application by additional elements of independent claims 1, 14, and 19 and the claims must be reviewed under Step 2B to determine patent eligibility. Step 2B determines where a claim amounts to significantly more. The additional element(s) listed above do not amount to significantly more than the judicial exception. In this instance, as noted above, the additional elements amount to merely insignificant extra-solution activity. Additionally there is no improvement in the functioning of the computer or technological field, and there is no transformation of subject matter into a different state. Therefore, under Step 2B in a test for patent subject matter eligibility, the judicial exception of the independent claim(s) do not amount to significantly more and the independent claim(s) remain patent ineligible. Dependent claims 2-12, 15-18, and 20 further limit the abstract idea of independent claims 1, 14, and 19. When analyzed as a whole, these claims are held to be patent ineligible under 35 U.S.C. 101 because the additional recited limitations fail to establish that the claims are not directed towards an abstract idea and do not sufficiently integrate the subject matter into a practical application or recite elements which constitute significantly more than the abstract ideas identified. The dependent claims are directed toward additional elements which encompass abstract ideas In this instance, dependent claims recite the following limitations: Identify/ing a one of the first plurality of frames comprising a particular vessel fiducial (claims 2, 15, and 20) Identify/ing a one of the second plurality of frames comprising the particular fiducial (claims 2, 15, and 20) Wherein the mapping further comprises a longitudinal offset (claims 3 and 16) Determining the mapping between the first plurality of frames and the second plurality of frames… to infer the mapping based on the first series of IVUS images and the second series of IVUS images (claim 12) To infer the one of the first plurality of frames (claims 7 and 17) To infer the one of the second plurality of frames (claims 7 and 17) The cited limitation(s), under their broadest reasonable interpretation, encompass mental processes (i.e. abstract idea) which can be performed in the mind or by a human using a pen and a paper (e.g. observation, evaluation, judgment, opinion). In other words, a human could reasonably identify/infer a one of the first or second plurality of frames comprising a particular vessel fiducial through evaluation/observation, determine an offset through evaluation, determine/infer the mapping. Examiner notes that with the exception of generic computer-implemented steps (e.g. processor), there is nothing in the claims that preclude the limitation from being performed by a human, mentally or with pen and paper, thus the claimed limitation is considered to be directed towards a judicial exception (MPEP 2106.04(a)). Under Step 2A, Prong II for dependent claims 4-6, 7-12, 15-18, and 20, present additional elements which only further narrow the judicial exceptions (e.g. claims 4 and 16 which recites indications of the first series of IVUS images and the second series of IVUS images aligned based on the angular offset and longitudinal offset which amounts to merely insignificant extra-solution activity of images in an aligned manner, claims 5, 6, and 16 which recite that the indications comprise an on-axis view/a longitudinal view of the first series of IVUS images and the second series of IVUS images and wherein the on-axis views/longitudinal views are correlated with each other based on the offset which amounts to merely providing images which are correlated where correlation, claims 7 and 17 which recite execute/executing a machine learning (ML) model which is recited at such a highly generic level that it merely amounts to applying a judicial exception with a generic computer, claims 8, 15 and 16 which further narrow a particular vessel fiducial, claims 9 and 18 which further narrow the nature in which the IVUS images are received, claims 10 and 11 which further narrow the timing at which the first and second series are captured, claim 12 which recites executing a machine learning (ML) model which is recited with at such a highly generic level that it amounts to merely applying a judicial exception with a generic computer), and provide no additional element which are found to integrate the judicial exception into a practical application. These dependent claims include no additional claims that are sufficient to amount to significantly more than the judicial exception. Additionally, there is no improvement in the functioning of the computer or technological field, and there is no transformation of subject matter into a different state. As discussed above with respect to integration of the abstract idea into a practical application, the additional claims do not provide any additional elements that would amount to significantly more than the judicial exception. Under Step 2B, these claims are not patent eligible. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 3-6, 16, and 19-20 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claim 3 recites the limitation “the mapping comprises a longitudinal offset, a radial offset, or both the longitudinal offset and the radial offset”. The limitation is unclear due to the mapping being further defined in claim 1 as including a first mapping and a second mapping, thus making it unclear as to whether the longitudinal offset, radial offset, or both are the same as or included in either or both of the first mapping and second mapping or if these are different elements. In other words, it is unclear if the claim is attempting to further define one or both of the first or second mapping to include any or all of these elements or if these are different/distinct from the first and second mapping. If the elements are intended to be different it is thus unclear what constitutes the first and second mapping of claim 1. For examination purposes, it has been interpreted that the offset(s) may be included in either or both of the first and second mapping, however, clarification is required. Claim 3 recites the limitation “the angular offset”. There is insufficient antecedent basis for the limitation in the claims. It is therefore unclear if the radial offset is the same as the angular offset or if these are different elements. For examination purposes, it has been interpreted to mean they are the same, however, clarification is required. Claim 16 recites the limitation “the angular offset”. There is insufficient antecedent basis for the limitation in the claims. It is therefore unclear if the angular offset is the same as one of the previously defined mappings or if this is a different element. For examination purposes, it has been interpreted to mean any angular offset, however, clarification is required. Claim 19 recites the limitation “wherein the mapping comprises a first mapping…. And a second mapping…”. it unclear as to whether first mapping and the second mapping are the same as or include any of angular offset and longitudinal offset or if these are different elements. In other words, it is unclear if the claim is attempting to further define the angular offset and/or longitudinal offset to be or include the first mapping or second mapping or if these are different/distinct. If these are different/distinct it is unclear what the nature of the first and second mapping is. For examination purposes, it has been interpreted that they may be the same or different, however, clarification is required. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claims 1-12, and 14-20 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by WIPO Sakaguchi (WO 2023189308 A1), hereinafter, Sakaguchi. Examiner notes that text citations to Sakaguchi are with reference to the translated copy provided herein. Regarding claims 1, 14, and 19, Sakaguchi discloses an apparatus for an intravascular imaging system (at least fig. 1 (100) and corresponding disclosure in at least pg. 2 second to last paragraph describing fig. 1), comprising: a processor (at least fig. 1 and 5 (3) and corresponding disclosure in at least pg. 5 second paragraph describing fig. 5); and a memory device (at least fig. 5 (32, 36, and/or 30) and corresponding disclosure in at least pg. 5 third-fourth paragraphs) coupled to the processor (3), the memory device (32) comprising instructions (pg. 5 fourth full paragraph describing computer program) executable by the processor, which instructions when executed by the processor cause the intravascular imaging system to: receive a first series of intravascular ultrasound (IVUS) images of a vessel of a patient, the first series of IVUS images comprising a first plurality of frames (at least fig. 7 (S111) and corresponding disclosure in at least pg. 7 last paragraph); receive a second series of intravascular ultrasound (IVUS) images of the vessel of the patient, the second series of IVUS images comprising a second plurality of frames (at least fig. 7 (S114) and corresponding disclosure in at least pg. 8 fourth paragraph) captured at a different time from the first plurality of frames (pg. 8 fourth paragraph disclosing images captured post-treatment where the first plurality of frame are captured before treatment); determine a mapping between the first plurality of frames and the second plurality of frames (pg. 14 second paragraph which discloses For example, the processing unit 31 calculates the difference between the central angle of the calcified site image included in the representative frame image before processing and the central angle of the calcified site image included in the corresponding representative frame image after treatment. Then, the processing unit 31 similarly calculates the difference in center angle for the other representative frame images, calculates the correction amount of the rotation angle so that the sum of the differences is the minimum, and processes the IVUS image by the calculated correction amount, wherein the mapping includes an angular offset and a longitudinal offset (see pg. 14 first and second paragraphs) and generate a graphical user interface (GUI), the GUI comprising indications of the first series of IVUS images and the second series of IVUS images based on the mapping between the first plurality of frames and the second plurality of frames (pg. 2 second to last paragraph which discloses he display device 4 and the input device 5 may be integrally stacked to form a touch panel. Furthermore, the input device 5 and the image processing device 3may be configured as one unit the processing unit 31 associates the pre-treatment and post-treatment IVUS images P1 so that the longitudinal positions of the plurality of calcified sites match (step S422). For example, when a calcified site image is included in a plurality of consecutive IVUS images P1, the processing unit 31recognizes the plurality of IVUS images P1 as one group, and selects an IVUS image P1 at the center in the longitudinal direction of the blood vessel. Specify as a representative frame image. The processing unit 31 treats as a pair the representative frame image before treatment and the representative frame image after treatment whose distance is closest in the longitudinal direction, and calculates the distance between the representative frame images. When there are multiple sets of representative frame images, the processing unit 31 calculates the distance between each representative frame image, finely adjusts the longitudinal position of the IVUS image P1 so that the sum of the distances is the minimum, and takes appropriate action. The previous IVUS image P1 and the post-treatment IVUS image P1 are associated. Next, the processing unit 31 corrects the rotation angle of the IVUS image P1 so that the center angles of the calcified site images in the IVUS image P1 match. See also fig. 10 and disclosure in at least pg. 6 third full paragraph) wherein the mapping comprises a first mapping between a first group of the first plurality of frames and a first group of the second plurality of frames and a second mapping between a second group of the first plurality of frames and a second group of the second plurality of frames (pg. 14 first paragraph which discloses when there are multiple sets of representative frame images, the processing unit 31 calculates the distance between each representative frame image, finely adjusts the longitudinal position of the IVUS image P1 so that the sum of the distances is the minimum, and takes appropriate action and pg. 14 second paragraph which discloses Then, the processing unit 31 similarly calculates the difference in center angle for the other representative frame images, calculates the correction amount of the rotation angle so that the sum of the differences is the minimum, and processes the IVUS image by the calculated correction amount. Examiner notes that each representative frame image is selected for a corresponding group (i.e. a first group and a second group) or is considered the same as a group of the first plurality of frames), wherein the first group of the first plurality of frames comprises different ones than the second group of the first plurality of frames, and wherein the first group of the second plurality of frames comprises different ones than the second group of the second plurality of frames (Examiner notes that the representative frames each correspond to different groups therefore the first and second groups of each of the plurality of frames are understood to be different). Regarding claims 2, 8, 15 and 20, Sakaguchi further discloses the instructions when executed by the processor further cause the intravascular imaging system to determine the mapping between the first plurality of frames and the second plurality of frames by identifying a one of the first plurality of frames comprising a particular vessel fiducial (pg. 13 sixth full paragraph which discloses the processing unit 31 executes image recognition processing of the IVUS image P1 by inputting the plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification. The part image is recognized (step S421) and the processing unit 31 identifies a frame image of the IVUS image P1 including the calcified site image. See also fig. 15 depicting the pre-treatment IVUS images arranged in the longitudinal direction with the hatched part showing images comprising calcified sites as disclosed in pg. 13 seventh full paragraph); Identifying a one of the second plurality of frames comprising the particular vessel fiducial (pg. 13 sixth full paragraph which discloses the processing unit 31 executes image recognition processing of the IVUS image P1 by inputting the plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification. The part image is recognized (step S421) and the processing unit 31 identifies a frame image of the IVUS image P1 including the calcified site image. See also fig. 15 depicting the post-treatment IVUS images arranged in the longitudinal direction with the hatched part showing images comprising calcified sites as disclosed in pg. 13 seventh full paragraph), wherein the particular vessel fiducial is a calcium morphology (pg. 13 sixth full paragraph which discloses plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification) Regarding claim 3, Sakaguchi further discloses wherein the mapping comprises a longitudinal offset and a radial offset, wherein the angular offset and the longitudinal offset are between the one of the first plurality of frames and the one of the second plurality of frames (pg. 14 first full paragraph which discloses The processing unit 31 treats as a pair the representative frame image before treatment and the representative frame image after treatment whose distance is closest in the longitudinal direction, and calculates the distance between the representative frame images. When there are multiple sets of representative frame images, the processing unit 31 calculates the distance between each representative frame image, finely adjusts the longitudinal position of the IVUS image P1 so that the sum of the distances is the minimum, and takes appropriate action and pg. 14 second full paragraph which discloses for example, the processing unit 31 calculates the difference between the central angle of the calcified site image included in the representative frame image before processing and the central angle of the calcified site image included in the corresponding representative frame image after treatment. Then, the processing unit 31 similarly calculates the difference in center angle for the other representative frame images, calculates the correction amount of the rotation angle so that the sum of the differences is the minimum, and processes the IVUS image by the calculated correction amount. By rotating P1, the orientation of the IVUS image P1 is corrected. In the example shown in FIG. 15, by subtracting the circumferential angle of the IVUS image P1 after). Regarding claim 4, Sakaguchi further discloses wherein the indications of the first series of IVUS images and the second series of IVUS images are aligned based on the angular offset and the longitudinal offset (pg. 14 first-third paragraph disclosing associating and aligning the indications based on both the angular offset (i.e. difference in orientation/angle) and the longitudinal offset). Regarding claim 5, Sakaguchi further discloses wherein the indications of the first series of IVUS images and the second IVUS images comprise an on-axis view of the first series of IVUS images and the second series of IVUS images and wherein the on-axis views are correlated with each other based on the angular offset and the longitudinal offset (pg. 14 fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other where the IVUS images P1 before and after may be cross-sectional or on-axis views as depicted in fig. 10 and/or fig. 15). Regarding claim 6, Sakaguchi further discloses wherein the indications comprise a longitudinal view of the first series of IVUS images and the second series of IVUS images longitudinal views are correlated with each other based on the angular offset and the longitudinal offset (pg. 14 first-fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other where the IVUS images P1 before and after may be longitudinal views as depicted in fig. 10 and/or 15), Regarding claims 7 and 17, Sakaguchi further discloses comprising: Executing a machine Learning (ML) model (pg. 6 fifth full paragraph which discloses IVUS image recognition learning model 61 is, for example, a convolutional neural network) to infer the one of the first plurality of frames comprising the particular vessel fiducial based on the first series of IVUS images (pg. 13 sixth full paragraph which discloses the processing unit 31 executes image recognition processing of the IVUS image P1 by inputting the plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification. The part image is recognized (step S421) and the processing unit 31 identifies a frame image of the IVUS image P1 including the calcified site image. See also fig. 15 depicting the pre-treatment IVUS images arranged in the longitudinal direction with the hatched part showing images comprising calcified sites as disclosed in pg. 13 seventh full paragraph); and Executing the ML model (pg. 6 fifth full paragraph which discloses IVUS image recognition learning model 61 is, for example, a convolutional neural network) to infer the one of the second plurality of frames comprising the particular vessel fiducial based on the second series of IVUS images (pg. 13 sixth full paragraph which discloses the processing unit 31 executes image recognition processing of the IVUS image P1 by inputting the plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification. The part image is recognized (step S421) and the processing unit 31 identifies a frame image of the IVUS image P1 including the calcified site image. See also fig. 15 depicting the post-treatment IVUS images arranged in the longitudinal direction with the hatched part showing images comprising calcified sites as disclosed in pg. 13 seventh full paragraph) Regarding claim 9, Sakaguchi further discloses receiving the second series of IVUs images from an intravascular imaging device (at least fig. 1 (101) and corresponding disclosure in at least pg. 2 second to last paragraph) (pg. 5 second to last full paragraph which discloses The ultrasound line data generation unit 33 acquires the reflected wave signal of the ultrasound output from the ultrasound transmitting/receiving unit 12a of the intravascular examination apparatus 101 and pg. 8 fourth paragraph which discloses the processing unit 31 uses the ultrasound line data generation unit 33 to acquire a plurality of post-treatment IVUS images P1 (step S114). The processing unit 31 that executes the process in stepS114 functions as an acquisition unit that acquires a plurality of IVUS images P1 of the blood vessel while moving the sensor unit 12 along the running direction of the blood vessel. Then, the processing unit 31 stores the plurality of IVUS images P1 acquired after the treatment on the blood vessel in the storage unit 32 in association with the ID, imaging date and time, blood vessel name, lesion name, and treatment-related information (step S115)); and receiving the first series of IVUS images from a memory storage device (pg. 17 eighth full paragraph which discloses a plurality of tomographic images acquired before the treatment and to be displayed in association with a plurality of tomographic images acquired after the treatment are read from the storage unit (i.e. memory storage device)) Regarding claim 10, Sakaguchi further discloses wherein the first series of IVUS images acre captured during a pre-percutaneous coronary intervention (PCI) procedure (pg 6 third full paragraph which discloses thereby processing a plurality of IVUS images acquired before a predetermined treatment such as stent placement in a blood vessel and pg. 2 first paragraph which discloses As a minimally invasive treatment for ischemic heart disease such as angina pectoris or myocardialinfarction, endovascular treatment typified by percutaneous coronary intervention (PCI) is performed. IntraVascular Ultra Sound ( IVUS) and near-infrared optical coherence tomography (OFDI) are used for preoperative diagnosis in endovascular treatment or to confirm postoperative results. Examiner notes that the stent placement is a percutaneous coronary intervention procedure). Regarding claim 11, Sakaguchi further discloses wherein the second series of IVUS images are captured during a post-PCI procedure (pg. 6 fourth full paragraph which discloses a process of aligning P1 and a plurality of IVUS images P1 acquired after the treatment in the longitudinal direction and displaying them is executed (see FIG. 10)). Regarding claim 12, Sakaguchi further discloses determining the mapping between the first plurality of frames and the second plurality of frames comprising executing a machine learning (ML) model (pg. 6 fifth full paragraph which discloses IVUS image recognition learning model 61 is, for example, a convolutional neural network) to infer the mapping based on the first series of IVUS images and the second series of IVUS images (pg. 13 sixth full paragraph which discloses the processing unit 31 executes image recognition processing of the IVUS image P1 by inputting the plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification. The part image is recognized (step S421) and the processing unit 31 identifies a frame image of the IVUS image P1 including the calcified site image. Examiner notes that “to infer the mapping…” is directed to intended use, where it is noted that such execution of the machine learning model is capable of being used to infer the mapping based on the first series of IVUS images and the second series of IVUS images). Regarding claims 16, Sakaguchi further discloses wherein the angular offset is between the one of the first plurality of frames and the one of the second plurality of frames (pg. 14 first full paragraph which discloses The processing unit 31 treats as a pair the representative frame image before treatment and the representative frame image after treatment whose distance is closest in the longitudinal direction, and calculates the distance between the representative frame images. When there are multiple sets of representative frame images, the processing unit 31) and Wherein the indications of the first series of IVUS images comprises indications of the first series of IVUS images and the second series of IVUS images are aligned based on the angular offset (pg. 14 second paragraph which discloses By rotating P1, the orientation of the IVUS image P1 is corrected. In the example shown in FIG. 15, by subtracting the circumferential angle of the IVUS image P1 after the treatment by 30 degrees, in other words, by rotating it clockwise by 30 degrees, the difference between the IVUS image P1 before the treatment and the IVUS image P1 after the treatment is you can align the orientation and fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other), Wherein the indications comprise an on-axis view of the first series of IVUS images and the second series of IVUS images and wherein the on-axis views are correlated with each other based on the offset (pg. 14 fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other where the IVUS images P1 before and after may be cross-sectional or on-axis views as depicted in fig. 10), and Wherein the indications comprise a longitudinal view of the first series of IVUS images and the second series of IVUS images longitudinal views are correlated with each other based on the offset (pg. 14 fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other where the IVUS images P1 before and after may be longitudinal views as depicted in fig. 10 and/or 15). Regarding claim 18, Sakaguchi further discloses comprising an intravascular imaging device (at least fig. 1 (101) and corresponding disclosure in at least (at least fig. 1 (101) and corresponding disclosure in at least pg. 2 second to last paragraph), wherein at least one of the first series of IVUS images or the second series of IVUS images are received from the intravascular imaging device (pg. 5 second to last full paragraph which discloses The ultrasound line data generation unit 33 acquires the reflected wave signal of the ultrasound output from the ultrasound transmitting/receiving unit 12a of the intravascular examination apparatus 101 and pg. 8 fourth paragraph which discloses the processing unit 31 uses the ultrasound line data generation unit 33 to acquire a plurality of post-treatment IVUS images P1 (step S114). The processing unit 31 that executes the process in stepS114 functions as an acquisition unit that acquires a plurality of IVUS images P1 of the blood vessel while moving the sensor unit 12 along the running direction of the blood vessel. Then, the processing unit 31 stores the plurality of IVUS images P1 acquired after the treatment on the blood vessel in the storage unit 32 in association with the ID, imaging date and time, blood vessel name, lesion name, and treatment-related information (step S115)) Double Patenting Claims 1, 2, 14, 16, and 19 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-2, 4-5, 7, 12-13, 15-16, and 20 of copending Application No. 18667989 (reference application). Although the claims at issue are not identical, they are not patentably distinct from each other because the reference claims anticipate the instant claims. This is a provisional nonstatutory double patenting rejection because the patentably indistinct claims have not in fact been patented. Regarding instant claims 1 and 14, Reference claims 1, 7, and 12 recite An apparatus for an intravascular imaging system (reference claim 1 line 1), comprising: A processor (reference claim 1 line 3); and A memory device coupled to the processor, the memory device comprising instructions executable by the processor, which instruction when executed by the processor cause the intravascular imaging system to (reference claim 1 lines 4-6): Receive a first series of intravascular ultrasound (IVUS) images of a vessel of a patient, the first series of IVUS images comprising a first plurality of frames (reference claim 1 lines 7-8); Receive a second series of intravascular ultrasound (IVUS) images of a vessel of a patient, the first series of IVUS images comprising a first plurality of frames (reference claim 1 lines 9-10) captured at a different time from the first plurality of frames (Examiner notes that a person having ordinary skill in the art would have recognized the second series received in reference claim 1 is at a different time from the first plurality of frames), Determine a mapping between the first plurality of frames and the second plurality of frames, wherein the mapping comprises an offset (reference claim 1 “Determine a first offset for a first subset of the first plurality of frames based at least in part on the second plurality of frames” and “determine a second offset for a second subset of the first plurality of frames” where such an offset is considered a mapping between the first plurality of frames and the second plurality of frames in its broadest reasonable interpretation), Wherein the mapping comprises a first mapping between a first group of the first plurality of frames and a first group of the second plurality of frames (reference claim 1 “first offset”) and a second mapping between a second group of the first plurality of frames and a second group of the second plurality of frames (reference claim 1 “second offset”). Generate a graphical user interface (GUI) (reference claim 1), the GUI comprising indications of the first series of IVUS images and the second series of IVUS images (reference claim 1) based on the mapping between the first plurality of frames and the second plurality of frames (See reference claim 1 which recites “indications of the offset series of IVUS images and the second series of IVUS images” understood to be indications of the first series (which is offset based on the mapping) and the second series of IVUS images)) Where reference claim 1 in view of Sakaguchi would perform the method of instant claim 14. See also corresponding method steps in reference claim 12, and corresponding machine readable storage device in reference claim 7. Regarding instant claim 2, Reference claims 2 and 13 recite the elements of instant claim 2. Regarding instant claims 7 and 17, Reference claims 5 and 16 recite the elements of instant claims 7 and 17. Regarding instant claim 12, Reference claims 5 and 16 recite executing a machine learning (ML) model. Examiner notes that to infer the mapping based on the first series of IVUS images and the second series of IVUS images is directed toward an intended use where claims 5 and 16 recite executing a machine learning (ML) model to infer a frame of the first series and a frame of the second series which are used to determine an offset, thus executing the machine learning (ML) model as recited in claims 5 and 16 is capable of being done to infer the mapping (i.e. the offset). Regarding claim 16, Reference claims 2 and 13 further teach wherein the angular offset is between the one of the first plurality of frames and the one of the second plurality of frames (Reference claims 2 and 13 “determining an offset for the first plurality of frames that when applied aligns the frame of the first plurality of frames comprising the vessel fiducial with the frame of the second plurality of frames comprising the vessel fiducial”) Wherein the indications of the first series of IVUS images and the second series of IVUS images aligned based on the angular offset (Reference claims 2 and 13 recite that the offset results in an alignment between the frame of the first plurality of frames comprising the vessel fiducial with the frame of the second plurality of frames comprising the vessel fiducial, therefore the indications on the GUI as recited in reference claim 1 are understood to be aligned based on the angular offset in the modified system/method). Regarding instant claim 19, Reference claims 4, 15, and 20 recites At least one non-transitory machine readable storage device, comprising a plurality of instructions that in response to being executed by a processor of an intravascular (IVUS) imaging system cause the processor to (reference claim 1 lines 4-6, see also reference claim 7 lines 1-3) Receive a first series of intravascular ultrasound (IVUS) images of a vessel of a patient, the first series of IVUS images comprising a first plurality of frames (reference claim 1 lines 7-8, see also claim 7); Receive a second series of intravascular ultrasound (IVUS) images of a vessel of a patient, the first series of IVUS images comprising a first plurality of frames (reference claim 1 lines 9-10, see also claim 7) captured at a different time from the first plurality of frames (Examiner notes that a person having ordinary skill in the art would have recognized the second series received in reference claim 1 is at a different time from the first plurality of frames), Determine a mapping between the first plurality of frames and the second plurality of frames, wherein the mapping comprises an offset (reference claim 1 and 7 “Determine a first offset for a first subset of the first plurality of frames based at least in part on the second plurality of frames” and “determine a second offset for a second subset of the first plurality of frames” where such an offset is considered a mapping between the first plurality of frames and the second plurality of frames in its broadest reasonable interpretation), wherein the mapping includes an angular offset and a longitudinal (claims 4, 15, and 20 where an offset distance/distance offset is understood to be a longitudinal offset and an angle offset/offset angle is understood to be an angular offset) Wherein the mapping comprises a first mapping between a first group of the first plurality of frames and a first group of the second plurality of frames (reference claim 1 and 7 “first offset”) and a second mapping between a second group of the first plurality of frames and a second group of the second plurality of frames (reference claim 1 and 7 “second offset”). Generate a graphical user interface (GUI) (reference claim 1), the GUI comprising indications of the first series of IVUS images and the second series of IVUS images (reference claim 1) based on the mapping between the first plurality of frames and the second plurality of frames (See reference claim 1 which recites “indications of the offset series of IVUS images and the second series of IVUS images” understood to be indications of the first series (which is offset based on the mapping) and the second series of IVUS images)) Claim 3-6, 8-11, 15, 18, and 20 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1-2, 5, 7, 12-13, and 16 of copending Application No. 18667989 (reference application) in view of Sakaguchi. This is a provisional nonstatutory double patenting rejection because the patentably indistinct claims have not in fact been patented. Regarding instant claim 3, Reference claims 1, 7, and 12, as modified, teach the elements of instant claim 1 as previously stated. Reference claims 4, 15, and 20 further teach wherein the mapping comprises a longitudinal offset, a radial offset, or both the longitudinal offset and the radial offset. Reference claims 4, 15, and 20 fail to explicitly teach wherein the angular offset and the longitudinal offset are between the one of the first plurality of frames and the one of the second plurality of frames. Nonetheless, Sakaguchi further teaches wherein a mapping comprises a longitudinal offset, a radial offset, or both the longitudinal offset and the radial offset and wherein the angular offset and the longitudinal offset are between the one of the first plurality of frames and the one of the second plurality of frame (pg. 14 first full paragraph which discloses the processing unit 31 treats as a pair the representative frame image before treatment and the representative frame image after treatment whose distance is closest in the longitudinal direction, and calculates the distance between the representative frame images. When there are multiple sets of representative frame images, the processing unit 31 calculates the distance between each representative frame image, finely adjusts the longitudinal position of the IVUS image P1 so that the sum of the distances is the minimum, and takes appropriate action and pg. 14 second full paragraph which discloses for example, the processing unit 31 calculates the difference between the central angle of the calcified site image included in the representative frame image before processing and the central angle of the calcified site image included in the corresponding representative frame image after treatment. Then, the processing unit 31 similarly calculates the difference in center angle for the other representative frame images, calculates the correction amount of the rotation angle so that the sum of the differences is the minimum, and processes the IVUS image by the calculated correction amount. By rotating P1, the orientation of the IVUS image P1 is corrected. In the example shown in FIG. 15, by subtracting the circumferential angle of the IVUS image P1 after). It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 1, 7, and 12, as currently modified, to include a longitudinal offset and a radial offset as taught by Sakaguchi in order to accurately align the IVUS images in all manners thereby enhancing the comparison between IVUS series. Regarding instant claim 4, Reference claims 2 and 13 recite that the offset results in an alignment between the frame of the first plurality of frames comprising the vessel fiducial with the frame of the second plurality of frames comprising the vessel fiducial. Examiner notes that in the modified system/method that the alignment is based on the angular offset and longitudinal offset. Regarding claim 5, Reference claims 2 and 13 anticipate instant claim 4 as previously stated. Reference claims 2 and 13 fail to explicitly recite “wherein the indications of the first series of IVUS images and second series of images comprise an on-axis view of the first series of IVUS images and the second series of IVUS images and wherein the on-axis views are correlated with each other based on the angular offset” Nonetheless, Sakaguchi further teaches wherein indications comprises an on-axis view of the first series of IVUS images and the second series of IVUS images and wherein the on-axis views are correlated with each other based on the angular offset (pg. 14 fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other where the IVUS images P1 before and after may be cross-sectional or on-axis views as depicted in fig. 10) It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 2 and 13 to include an on-axis view of the first series of IVUS images and the second series of IVUS images correlated with each other based on the offset as taught by Sakaguchi in order to provide a cross-sectional or longitudinal view of the vessel which are correlated with one another accordingly. Such a modification amounts to merely a simple substitution of one known image display type for another yielding predictable results with respect to image association. Regarding instant claim 6, Reference claims 2 and 13, as modified, teach the elements of instant claim 4 as previously stated. Reference claims 2 and 13, as currently modified, fail to explicitly recite “wherein the indications of the first series of IVUS images and the second series of IVUS images comprise a longitudinal view of the first series of IVUS images and the second series of IVUS images and wherein the on-axis views are correlated with each other based on the angular offset and the longitudinal offset”. Sakaguchi, in a similar field of endeavor involving IVUS imaging, teaches wherein the indications comprises a longitudinal view of the first series of IVUS images and the second series of IVUS images, wherein the longitudinal views are correlated with each other based on the angular offset and the longitudinal offset (pg. 14 first-fourth full paragraph which discloses as described above, according to the image processing device 3 and the like according to the fourth embodiment, compared to the first embodiment, the longitudinal position of the blood vessel can be aligned more accurately and the IVUS images P1 before and after the treatment can be displayed in association with each other where the IVUS images P1 before and after may be longitudinal views as depicted in fig. 10 and/or 15). It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 2 and 13 to include a longitudinal view of the first series of IVUS images and the second series of IVUS images correlated with each other based on the offset as taught by Sakaguchi in order to provide longitudinal views of the vessel obtained by IVUS which are correlated with one another accordingly. Such a modification amounts to merely a simple substitution of one known image display type for another yielding predictable results with respect to image association. Regarding instant claim 8, Reference claims 2 and 13 teach instant claim 2 as previously stated. Reference claims 2 and 13 fail to explicitly recite wherein the particular vessel fiducial is one of a lumen geometry, a vessel geometry, a side branch location, a calcium morphology, a plaque distribution, or a guide catheter position. Sakaguchi, in a similar field of endeavor involving IVUS imaging, teaches wherein the particular vessel fiducial is a calcium morphology (pg. 13 sixth full paragraph which discloses plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification) It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 2 and 13 to include a particular vessel fiducial as taught by Sakaguchi in order to align the vessels in a longitudinal direction with respect to a calcification. Such a modification amounts to merely a simple substitution of one known vessel fiducial for another yielding predictable results with respect to vessel alignment rendering the claim obvious (MPEP 2143). Regarding instant claim 9, Reference claims 1, 7, and 12 teach instant claim 1 as previously stated. Reference claims 1, 7, and 12, as currently modified, fail to explicitly teach comprising receiving the second series of IVUS images from an intravascular imaging device; and receiving the first series of IVUS images from a memory storage device. Nonetheless, Sakaguchi further teaches receiving a second series of IVUS images from an intravascular imaging device (at least fig. 1 (100) and corresponding disclosure in at least pg. 2 second to last paragraph) and receiving a first series of IVUS images from a memory storage device (pg. 17 eighth full paragraph which discloses a plurality of tomographic images acquired before the treatment and to be displayed in association with a plurality of tomographic images acquired after the treatment are read from the storage unit (i.e. memory storage device)). It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 1, 7, and 12, as currently modified, to include receiving the first and second series as taught by Sakaguchi in order to provide IVUS images acquired at different times (i.e. before and after treatment) for comparison accordingly. Regarding instant claims 10 and 11, Reference claims 1, 7, and 12, as modified, teach instant claim 1 as previously stated. Reference claims 1, 7, and 12, as currently modified, fail to explicitly recite wherein the first series of IVUS images are captured during a pre-percutaneous coronary intervention procedure (PCI) procedure and wherein the second series of IVUS images are captured during a peri-PCI or post-PCI procedure. Nonetheless, Sakaguchi further teaches wherein the first series of IVUS images are captured during a pre-percutaneous coronary intervention (PCI) procecure (pg. 2 which discloses endovascular treatment typefied by percutaneous coronary intervention and pg. 10 fifth full paragraph which discloses IVUS images acquired before and after treatment of the blood vessel) and wherein the second series of IVUS images are captured during a post-PCI procedure (pg. 2 which discloses endovascular treatment typefied by percutaneous coronary intervention and pg. 10 fifth full paragraph which discloses IVUS images acquired before and after treatment of the blood vessel). It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified reference claims 1, 7, and 12, as currently modified, to include capturing the first and second series before and after a PCI procedure as taught by Sakaguchi in order to align images acquired at different times with respect to treatment accordingly. Such a modification would allow for images obtained pre-treatment and post-treatment to be compared for visualizing the effectiveness of the treatment accordingly. Regarding instant claim 15, Reference claims 1, 7, and 12 teach instant claim 14 as previously stated. Reference claims 2 and 13 recite identify a one of the first plurality of frames comprising a particular vessel fiducial and identify a one of the second plurality of frames comprising the particular vessel fiducial, however, fail to explicitly recite wherein the particular vessel fiducial is one of a lumen geometry, a vessel geometry, a side branch location, a calcium morphology, a plaque distribution, or a guide catheter position. Nonetheless, Sakaguchi further teaches wherein a particular vessel fiducial used for identifying a one of a first plurality of IVUS frames and a one of a second plurality of IVUS frames is a calcium morphology (pg. 13 sixth full paragraph which discloses plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification) It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 2 and 13, as currently modified, to include a particular vessel fiducial as taught by Sakaguchi in order to align the vessels in a longitudinal direction with respect to a calcification. Such a modification amounts to merely a simple substitution of one known vessel fiducial for another yielding predictable results with respect to vessel alignment rendering the claim obvious (MPEP 2143). Regarding claim 18, Reference claims 1, 7, and 12, as modified, teach the elements of instant claim 1, 14, and 19 as previously stated. Reference claims 1, 7, and 12 fail to explicitly recite further comprising an intravascular imaging device, wherein at least one of the first series of IVUS images or the second series of IVUS images are received from the intravascular imaging device. Nonetheless, Sakaguchi further teaches an intravascular imaging device (at least fig. 1 (101) and corresponding disclosure in at least pg. 2), wherein at least one of the first series of IVUS images or the second series of IVUS images are received from the intravascular imaging device (pg. 5 third to last paragraph which discloses ultrasound transmitting/receiving unit 12a of the intravascular examination apparatus 101 as reflected wave data, and generates ultrasound line data based on the acquired reflected wave data) It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified Reference claims 1, 7, and 12, as currently modified, to include an intravascular imaging device and receiving the images therefrom in order to provide a device for providing the IVUS images accordingly. Regarding instant claim 20, Reference claims 4, 15, and 20 teaches instant claim 19 as previously stated. Reference claims 4, 15, and 20, however, fail to explicitly recite wherein the particular vessel fiducial is one of a lumen geometry, a vessel geometry, a side branch location, a calcium morphology, a plaque distribution, or a guide catheter position. Sakaguchi, in a similar field of endeavor involving IVUS imaging, teaches wherein a particular vessel fiducial used for identifying a one of a first plurality of IVUS frames and a one of a second plurality of IVUS frames is a calcium morphology (pg. 13 sixth full paragraph which discloses plurality of IVUS images P1 acquired before and after the treatment to the IVUS image recognition learning model 61, and detects calcification) It would have been obvious to a person having ordinary skill in the art before the effective filing date to have modified reference claim 4 to include a particular vessel fiducial as taught by Sakaguchi in order to align the vessels in a longitudinal direction with respect to a calcification. This is a provisional nonstatutory double patenting rejection. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Huennekens (US 20070038061 A1) teaches determining a first mapping and a second mapping for different groups of a first and second plurality of images in [0049]-[0050]. Any inquiry concerning this communication or earlier communications from the examiner should be directed to BROOKE L KLEIN whose telephone number is (571)270-5204. The examiner can normally be reached Mon-Fri 7:30-4. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Anne Kozak can be reached at 5712700552. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /BROOKE LYN KLEIN/Primary Examiner, Art Unit 3797
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Prosecution Timeline

May 17, 2024
Application Filed
Jun 03, 2025
Non-Final Rejection mailed — §101, §102, §112
Oct 03, 2025
Response Filed
Dec 01, 2025
Final Rejection mailed — §101, §102, §112
Apr 01, 2026
Response after Non-Final Action
Apr 23, 2026
Request for Continued Examination
Apr 30, 2026
Response after Non-Final Action
Jul 14, 2026
Non-Final Rejection mailed — §101, §102, §112 (current)

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