IP Library Granted Patent US 12,374,444
Granted Patent B2
US 12,374,444 · App. 17/918,163 · Granted Jul 29, 2025

Creating a synthetic medical image

Inventors: Shelly Theodora Yehezkely (Haifa, IL); Yossef Kam (Haifa, IL); Mooly Cohen (Haifa, IL)
Assignee: KONINKLIJKE PHILIPS N.V.
G16H30/40G06T7/11G06T7/337G06T11/60G06T2200/04G06T2207/20021G06T2207/20104G06T2207/30004G16H30/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,374,444
App. No.
17/918,163
Granted
Jul 29, 2025
Kind
B2
Abstract

An apparatus for creating a synthetic medical image comprises a memory comprising instruction data representing a set f instructions and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to obtain first and second medical images, determine an elastic deformation that can be used to register the first medical image onto the second medical image, and create the synthetic medical image by weighting the determined elastic deformation and applying the weighted elastic deformation to a portion of the first medical image.

Claims (32)

1. An apparatus for creating a synthetic medical image, the apparatus comprising:

a memory comprising instruction data representing a set of instructions; and

a processor configured to communicate with the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to:

obtain first and second medical images, wherein the first and second medical images comprise common or overlapping features;

determine an elastic deformation that can be used to register the first medical image onto the second medical image; and

create the synthetic medical image by weighting the determined elastic deformation and applying the weighted elastic deformation to a portion of the first medical image so as to create an image having features that are geometrically between the first and second medical images.

2. The apparatus of claim 1 , wherein the set of instructions, when executed by the processor, further cause the processor to:

segment the first medical image to produce a segmentation; and

wherein the processor further being caused to:

apply the weighted elastic deformation to the portion of the first medical image comprising a region of interest, based on the segmentation.

3. The apparatus of claim 2 , wherein the apparatus is configured to receive a first user input

indicating the region of interest; and

wherein the set of instructions, when executed by the processor, cause the processor to perform the obtain, determine, and create responsive to receiving the first user input.

4. The apparatus of claim 3 , wherein the region of interest comprises an anatomical feature and the first user input comprises an indication of said anatomical feature.

5. The apparatus of claim 3 , wherein the first and second medical images comprise three-dimensional images and the first user input comprises an indication of a volume of interest in the first medical image.

6. The apparatus of claim 1 , wherein the weighting is user configurable.

7. The apparatus of claim 6 , wherein the apparatus is configured to receive a second user input comprising a value for the weighting.

8. The apparatus of claim 1 , wherein the first medical image and the second medical image comprise medical images of human subjects.

9. The apparatus of claim 8 , wherein the apparatus is configured to receive a third user input, indicating one or more demographic criteria; and

wherein the processor further being caused to: select at least one of the first medical image or second medical image from a database of images, based on demographics of respective human subjects in the database of images and the demographic criteria.

10. The apparatus of claim 9 , wherein the one or more demographic criteria comprises an age or gender.

11. The apparatus of claim 1 , wherein the set of instructions, when executed by the processor, further cause the processor to: repeat the create of the synthetic medical image for a plurality of different weightings to create a plurality of different synthetic medical images.

12. The apparatus of claim 1 , wherein the first and second medical images are of a same imaging modality.

13. The apparatus of claim 1 , wherein the elastic deformation comprises at least one of a distortion field or the weighting, w, the weighting comprising a value within the interval 0<w<1.

14. A method of creating a synthetic medical image, the method comprising:

obtaining first and second medical images, wherein the first and second medical images comprise common or overlapping features;

determining an elastic deformation that can be used to register the first medical image onto the second medical image; and

creating the synthetic medical image by weighting the determined elastic deformation and applying the weighted elastic deformation to a portion of the first medical image so as to create an image having features that are geometrically between the first and second medical images.

15. A computer program product comprising a non-transitory computer readable medium, the non-transitory computer readable medium having computer readable code embodied therein, the computer readable code being configured such that, on execution by a suitable computer or processor, the computer or processor is caused to:

obtain first and second medical images, wherein the first and second medical images comprise common or overlapping features;

determine an elastic deformation that can be used to register the first medical image onto the second medical image; and

create the synthetic medical image by weighting the determined elastic deformation and applying the weighted elastic deformation to a portion of the first medical image so as to create an image having features that are geometrically between the first and second medical images.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 11, 2022
From: YEHEZKELY, SHELLY THEODORA; KAM, YOSSEF; COHEN, MOOLY
To: KONINKLIJKE PHILIPS N.V.
Reel/Frame 061374/0333 →
Priority Claims (1)
EP 20169281 · Apr 14, 2020 · regional
Continuity (1)
Related Publication 20230132504A1 · May 4, 2023
References Cited (18)
US 9330444B2 · Wang · 2016 [cited by applicant]
US 10769791B2 · Song · 2020 [cited by applicant]
US 12048574B2 · Sapiro · 2024 [cited by applicant]
US 20050146536A1 · Battle · 2005 [cited by applicant]
US 20100172567A1 · Prokoski · 2010 [cited by examiner]
US 20110235884A1 · Schreibmann · 2011 [cited by applicant]
US 20120041446A1 · Wong · 2012 [cited by examiner]
US 20140081122A1 · Schmidt · 2014 [cited by applicant]
US 20180360313A1 · Zhang · 2018 [cited by applicant]
US 20190362522A1 · Han · 2019 [cited by examiner]
US 20200090349A1 · Chen et al. · 2020 [cited by applicant]
US 20200121951A1 · Morgas · 2020 [cited by examiner]
JP 2014174174A · 2014 [cited by applicant]
JP 2016527942A · 2016 [cited by applicant]
WO 2005059831A1 · 2005 [cited by applicant]
Nalepa et al., “Data Augmentation for Brain-Tumor Segmentation: A Review”, Frontiers in Computational Neuroscience, vol. 13, Dec. 11, 2019, pp. 1-18. [cited by applicant]
Yi Xin et al., “Generative adversarial network in medical imaging: A review”, Medical Image Analysis, Oxford University , Press, Oxford, GB, vol. 58, Aug. 31, 2019, XP085878766, ISSN: 1361-8415, DOI: 10.2016/J.Media.201… [cited by applicant]
International Search Report and Written Opinion of PCT/EP2021/058980, dated Apr. 7, 2021. [cited by applicant]