US 11,935,238 B2
Systems and methods for generating clinically relevant images that preserve physical attributes of humans while protecting personal identity
Stanislav Khirman, Jerusalem (IL); Uri Neeman, Tel-Aviv (IL); Alon Gat, Tel-Aviv (IL); and David P. Rapaport, Tel-Aviv (IL)
Assigned to RealizeMD Ltd., Givatayim (IL)
Filed by RealizeMD Ltd., Givatayim (IL)
Filed on Apr. 17, 2023, as Appl. No. 18/135,283.
Application 18/135,283 is a continuation in part of application No. 17/960,881, filed on Oct. 6, 2022, granted, now 11,631,208.
Claims priority of provisional application 63/292,507, filed on Dec. 22, 2021.
Prior Publication US 2023/0252627 A1, Aug. 10, 2023
Int. Cl. G06T 7/00 (2017.01); G06T 5/50 (2006.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/46 (2022.01); G06V 10/74 (2022.01)
CPC G06T 7/0012 (2013.01) [G06T 5/50 (2013.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/44 (2022.01); G06V 10/46 (2022.01); G06V 10/761 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30104 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A computer implemented method of generating a dataset of synthetic images depicting an anatomical structure region, comprising:
for each real image of a plurality of real images each depicting a real human anatomical structure:
extracting and preserving at least one real anatomical structure region from the real image of the real human anatomical structure;
generating a synthetic image comprising a synthetic human anatomical structure region and the preserved at least one real anatomical structure region;
designating pairs of images, each pair including the real image and the synthetic image that includes the preserved at least one real anatomical structure region extracted from the real image;
feeding the real image and the synthetic image into a machine learning model trained to recognize anatomical structure parts to obtain an outcome of a similarity value denoting an amount of similarity between the real image and the synthetic image,
verifying that the synthetic image does not depict the real human anatomical structure when the similarity value is below a threshold;
wherein an identity of the real human anatomical structure is non-determinable from the synthetic image; and
including the verified synthetic image in the dataset.