Prosecution Insights
Last updated: July 17, 2026
Application No. 19/033,783

Securing a Dedicated Scan Operation

Non-Final OA §102
Filed
Jan 22, 2025
Priority
Jan 22, 2024 — DE 10 2024 200 547.9
Examiner
FOX, DANIELLE A
Art Unit
Tech Center
Assignee
Siemens Healthineers AG
OA Round
1 (Non-Final)
83%
Grant Probability
Favorable
1-2
OA Rounds
1y 1m
Est. Remaining
96%
With Interview

Examiner Intelligence

Grants 83% — above average
83%
Career Allowance Rate
613 granted / 736 resolved
+23.3% vs TC avg
Moderate +13% lift
Without
With
+13.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
14 currently pending
Career history
749
Total Applications
across all art units

Statute-Specific Performance

§101
1.6%
-38.4% vs TC avg
§103
63.3%
+23.3% vs TC avg
§102
27.2%
-12.8% vs TC avg
§112
1.9%
-38.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 736 resolved cases

Office Action

§102
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 . Claim Rejections - 35 USC § 102 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. Claim(s) 1-14 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by US 2002/0198447 (Van Muiswinkel) Regarding claim 1, Van Muiswinkel disclose a method for dedicated medical imaging, comprising: acquiring medical scan data from an investigation region of a patient ([0029], step 1, survey scan); automatically performing an image recognition based on the acquired medical scan data ([0029]-[0032]); and automatically taking an enabling decision which relates to medical image data generated based on the medical scan data, based on the image recognition [0032]. Regarding claim 2, Van Muiswinkel disclose the method as claimed in claim 1, wherein the medical scan data comprises data of a raw data type, an image data type, or a pre-scan data type [0029]. Regarding claim 3, Van Muiswinkel disclose the method as claimed in claim 1, wherein the image recognition comprises: comparing the medical scan data with known reference scan data [0029]; automatically performing pattern recognition based on the acquired medical scan data [0030]; or performing image data recognition based on a model which is based upon artificial intelligence, which is applied to the medical scan data. Regarding claim 4, Van Muiswinkel disclose the method as claimed in claim 1, wherein in a context of the image recognition, an organ situated in the investigation region or a body region comprising the investigation region is recognized ([0029]-[0031]). Regarding claim 5, Van Muiswinkel disclose the method as claimed in claim 1, wherein the image recognition comprises classifying the acquired medical scan data and/or of the generated medical image data, and wherein the enabling decision is taken dependent upon the classification of the acquired medical scan data and/or the generated medical image data [0032]. Regarding claim 6, Van Muiswinkel disclose the method as claimed in claim 5, wherein the classifying comprises allocating the medical image data to a type of investigation region, and wherein the enabling decision is taken dependent upon the allocated type of the investigation region and only medical image data is enabled from one or more types of investigation regions [0032]. Regarding claim 7, Van Muiswinkel disclose the method as claimed in claim 1, wherein the enabling decision is taken based on specification data from a database which stores specification data for the enabling of approved investigation regions ([0029]-[0032]). Regarding claim 8, Van Muiswinkel disclose the method as claimed in claim 1, wherein the enabling decision comprises enabling the medical image data with limited image quality dependent upon a result of the image recognition carried out ([0029]-[0032]). Regarding claim 9, Van Muiswinkel disclose the method as claimed in claim 8, wherein the enabling with limited image quality comprises: enabling the medical image data with a reduced resolution, and/or enabling the medical image data with a reduced matrix size ([0029]-[0032]). Regarding claim 10, Van Muiswinkel disclose the method as claimed in claim 1, wherein a limited enabling of only a pre-determined number of image recordings takes place based on the image recognition ([0029]-[0032]). Regarding claim 11, Van Muiswinkel disclose the method as claimed in claim 1, wherein if no enabling is granted, one of the following additional measures takes place: terminating of the medical imaging [0032]; outputting an error message [0032]; deactivating the medical imaging system used for the dedicated medical imaging for a pre-determined duration; or automatically removing the patient from the medical imaging system [0032]. Regarding claim 12, Van Muiswinkel disclose a monitoring facility, comprising: an input interface configured to receive medical scan data from an investigation region of a patient from a medical imaging system ([0029], step 1, survey scan); an image recognition unit configured to automatically perform an image recognition based on the received medical scan data ([0029]-[0032]); and an enabling unit configured to automatically take an enabling decision which relates to medical image data generated based on the medical scan data, based on the image recognition [0032]. Regarding claim 13, Van Muiswinkel disclose a medical imaging system, comprising: a scanning unit for generating medical image data from a patient (Fig. 1 and 2); and a monitoring facility as claimed in claim 12. Regarding claim 14, Van Muiswinkel disclose the non-transitory computer-readable medium comprising commands which, on execution by way of a computer cause the computer to carry out the steps of the method as claimed in claim 1 ([0029]-[0032]). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to DANI FOX whose telephone number is (571)272-3513. The examiner can normally be reached M-F: 9-5. 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, David Makiya can be reached at 571-272-2273. 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. /DANI FOX/Primary Examiner, Art Unit 2884
Read full office action

Prosecution Timeline

Jan 22, 2025
Application Filed
Jun 24, 2026
Non-Final Rejection mailed — §102 (current)

Precedent Cases

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
83%
Grant Probability
96%
With Interview (+13.0%)
2y 7m (~1y 1m remaining)
Median Time to Grant
Low
PTA Risk
Based on 736 resolved cases by this examiner. Grant probability derived from career allowance rate.

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