CTNF 18/814,832 CTNF 86947 DETAILED ACTION Notice of Pre-AIA or AIA Status 07-03-aia AIA 15-10-aia The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Status of the Claims Claims 1-20, as originally filed, are currently pending and have been considered below. Double Patenting 08-33 AIA The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg , 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman , 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi , 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum , 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel , 422 F.2d 438, 164 USPQ 619 (CCPA 1970); In re Thorington , 418 F.2d 528, 163 USPQ 644 (CCPA 1969). A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP § 2146 et seq. for applications not subject to examination under the first inventor to file provisions of the AIA. A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b). The filing of a terminal disclaimer by itself is not a complete reply to a nonstatutory double patenting (NSDP) rejection. A complete reply requires that the terminal disclaimer be accompanied by a reply requesting reconsideration of the prior Office action. Even where the NSDP rejection is provisional the reply must be complete. See MPEP § 804, subsection I.B.1. For a reply to a non-final Office action, see 37 CFR 1.111(a). For a reply to final Office action, see 37 CFR 1.113(c). A request for reconsideration while not provided for in 37 CFR 1.113(c) may be filed after final for consideration. See MPEP §§ 706.07(e) and 714.13. The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The actual filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA/25, or PTO/AIA/26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to www.uspto.gov/patents/apply/applying-online/eterminal-disclaimer. 08-34 AIA Claim s 1, 4-8, 11-15 and 19 are rejected on the ground of nonstatutory double patenting as being unpatentable over claim s 1, 2, 4-10 and 12-18 of U.S. Patent No. 12,100,170 . Although the claims at issue are not identical, they are not patentably distinct from each other because claims 1, 4-8, 11-15 and 19 of the current application are encompassed by the scope of claims 1, 2, 4-10 and 12-18 of U.S. Patent No. 12,100,170, in that claims 1, 2, 4-10 and 12-18 of U.S. Patent No. 12,100,170, contain similar limitations as claims 1, 4-8, 11-15 and 19 of the current application and are therefore not patentably distinct from claims 1, 2, 4-10 and 12-18 of U.S. Patent No. 12,100,170 . Claims 1, 4-8, 11-15 and 19 of the current application recite similar limitations as claims 1, 2, 4-10 and 12-18 of U.S. Patent No. 12,100,170 as follows: Current Application No. 18/814,832 U.S. Patent No. 12,100,170 8. A system, comprising: a memory that stores computer executable components; and a processor that executes at least one of the computer executable components that: trains, using a training dataset, a machine learning model to generate registered images of portions of patients' bodies, wherein the training dataset comprises a group of pairs of images, and wherein the training comprises, iteratively, until an error loss of the machine learning model satisfies a defined criterion: selecting a pair of images from the group of pairs of images, wherein of the pair of images comprises: a first image of a portion of a patient's body, wherein the first image has a defined number of pixels in a defined arrangement, and a second image of the portion of the patient's body, wherein the second image has the defined number of pixels in the defined arrangement, and wherein the second image is at least partially unaligned with respect to the first image; generating, using the machine learning model on the first image and the second image, registration information comprising a plurality of registration fields and a plurality of weight matrices that respectively correspond to the plurality of registration fields, wherein each registration field of the plurality of registration fields comprises respective pixel-wise shift vectors corresponding to each pixel of the first image, and wherein each weight matrix of the plurality of weight matrices comprises respective weight scalars corresponding to each pixel-wise shift vector of the corresponding registration field; generating, using the machine learning model, a registration image based on the plurality of registration fields and the plurality of weight matrices; adding the registration image to the registration information; determining the error loss based on a comparison of the registration information to comparison data associated with at least one of the first image or the second image; and updating one or more parameters of the machine learning model based on the error loss. 1. A system, comprising: a processor that executes computer-executable components stored in a computer-readable memory, the computer-executable components comprising: a receiver component that accesses: a first image of a portion of a patient's body captured using a first energy level and a first exposure time, wherein the first image has a defined number of pixels in a defined arrangement, and a second image of the portion of the patient's body captured using a second energy level and a second exposure time, wherein the second image has the defined number of pixels in the defined arrangement, and wherein at least one of the second energy level is different from the first energy level, or the second exposure time is different from the first exposure time; a field component that generates, via execution of a machine learning model on the first image and the second image, a plurality of registration fields and a plurality of weight matrices that respectively correspond to the plurality of registration fields, wherein each registration field of the plurality of registration fields comprises respective pixel-wise shift vectors corresponding to each pixel of the first image, and wherein each weight matrix of the plurality of weight matrices comprises respective weight scalars corresponding to each pixel-wise shift vector of the corresponding registration field; and a registration component that generates a registered image of the portion of the patient's body from the first image with the second image based on the plurality of registration fields and the plurality of weight matrices. 7. The system of claim 1, wherein the computer-executable components further comprise: a training component that trains the machine learning model based on an error between the second image and the registered image. 8. The system of claim 1, wherein the computer-executable components further comprise: a training component that trains the machine learning model based on at least one first error between at least one of the plurality of registration fields and at least one ground-truth registration field, or based on at least one second error between at least one of the plurality of weight matrices and at least one ground-truth weight matrix. 11. The system of claim 8, wherein the respective weight scalars indicate respective levels of importance of the pixel-wise shift vectors. 2. The system of claim 1, wherein the respective weight scalars indicate respective levels of importance of the pixel-wise shift vectors. 14. The system of claim 8, wherein a registration field of the plurality of registration fields is rigid or deformable. 4. The system of claim 1, wherein a registration field of the plurality of registration fields is rigid or deformable. 12. The system of claim 8, wherein the generating the registration image comprises: applying the plurality of registration fields to the first image, thereby yielding a plurality of registered image layers; and determining a weighted sum of the plurality of registered image layers according to the plurality of weight matrices. 5. The system of claim 1, wherein the registration component generates the registered image by: applying the plurality of registration fields to the first image, thereby yielding a plurality of registered image layers; and determining a weighted sum of the plurality of registered image layers according to the plurality of weight matrices. 13. The system of claim 8, wherein the generating the registration image comprises: applying the plurality of weight matrices to the first image, thereby yielding a plurality of weighted image layers; applying the plurality of registration fields to the plurality of weighted image layers, thereby yielding a plurality of weighted and registered image layers; and determining a sum of the plurality of weighted and registered image layers, wherein the sum is a version of the first image that is registered with the second image 6. The system of claim 1, wherein the registration component generates the registered image by: applying the plurality of weight matrices to the first image, thereby yielding a plurality of weighted image layers; applying the plurality of registration fields to the plurality of weighted image layers, thereby yielding a plurality of weighted and registered image layers; and determining a sum of the plurality of weighted and registered image layers. Claim 1 of the current application corresponds to claims 9, 15 and 16 of U.S. Patent No. 12,100,170. Claim 4 of the current application corresponds to claim 10 of U.S. Patent No. 12,100,170. Claims 5 and 6 of the current application correspond to claims 13 and 14 of U.S. Patent No. 12,100,170. Claim 7 of the current application corresponds to claim 12 of U.S. Patent No. 12,100,170. Claim 15 of the current application corresponds to claim 17 of U.S. Patent No. 12,100,170. Claim 19 of the current application corresponds to claim 18 of U.S. Patent No. 12,100,170. The table above shows that, although the corresponding claims are not identical, claims 1, 4-8, 11-15 and 19 of the current invention are not patentably distinct from claims 1, 2, 4-10 and 12-18 of U.S. Patent No. 12,100,170. Allowable Subject Matter Claims 1-20 would be allowable if the double patenting rejection were overcome. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to TRACY MANGIALASCHI whose telephone number is (571)270-5189. The examiner can normally be reached M-F, 9:30AM TO 6:00PM. 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, Vu Le can be reached at (571) 272-7332. 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. 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If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /TRACY MANGIALASCHI/Primary Examiner, Art Unit 2668 Application/Control Number: 18/814,832 Page 2 Art Unit: 2668 Application/Control Number: 18/814,832 Page 3 Art Unit: 2668 Application/Control Number: 18/814,832 Page 4 Art Unit: 2668 Application/Control Number: 18/814,832 Page 5 Art Unit: 2668 Application/Control Number: 18/814,832 Page 6 Art Unit: 2668 Application/Control Number: 18/814,832 Page 7 Art Unit: 2668 Application/Control Number: 18/814,832 Page 8 Art Unit: 2668 Application/Control Number: 18/814,832 Page 9 Art Unit: 2668 Application/Control Number: 18/814,832 Page 10 Art Unit: 2668 Application/Control Number: 18/814,832 Page 11 Art Unit: 2668 Application/Control Number: 18/814,832 Page 12 Art Unit: 2668 Application/Control Number: 18/814,832 Page 13 Art Unit: 2668 Application/Control Number: 18/814,832 Page 14 Art Unit: 2668 Application/Control Number: 18/814,832 Page 15 Art Unit: 2668
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