US 12,493,962 B2
Systems and methods for detecting cardiovascular anomalies using spatiotemporal neural networks
Christophe Gardella, Paris (FR); Valentin Thorey, Paris (FR); Eric Askinazi, Paris (FR); and Cécile Dupont, Paris (FR)
Assigned to BrightHeart SAS, Paris (FR)
Filed by BrightHeart SAS, Paris (FR)
Filed on Nov. 18, 2024, as Appl. No. 18/950,549.
Application 18/950,549 is a continuation in part of application No. 18/412,325, filed on Jan. 12, 2024, granted, now 12,148,162, issued on Nov. 19, 2024.
Application 18/412,325 is a continuation in part of application No. 18/183,942, filed on Mar. 14, 2023, granted, now 11,875,507, issued on Jan. 16, 2024.
Claims priority of application No. 23305236 (EP), filed on Feb. 22, 2023.
Prior Publication US 2025/0078278 A1, Mar. 6, 2025
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/174 (2017.01)
CPC G06T 7/0016 (2013.01) [G06T 7/174 (2017.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30044 (2013.01); G06T 2207/30048 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A method for analyzing medical images corresponding to a fetus during pregnancy, the method comprising:
determining image data that is representative of a portion of the fetus's cardiovascular system, the image data comprising a series of image frames;
preprocessing at least one image frame of the series of image frames to remove a portion of the image frame from such at least one image frame;
determining a neural network system comprising a spatial model trained to identify fetal cardiovascular anatomy and a temporal model trained to identify motion corresponding to fetal cardiovascular anatomy, and a spatiotemporal model;
determining a spatial output using the spatial model and based on the first portion of the image data, the spatial output corresponding to predetermined anatomy of the fetus in the image data;
determining a temporal output using the temporal model and based on a second portion of the image data, the temporal output corresponding to the predetermined anatomy over a time period;
determining a spatiotemporal output using the spatiotemporal model and based on the spatial output, the temporal output, and the image data, the spatiotemporal output indicative of a presence of a predetermined condition of a plurality of predetermined conditions; and
causing a device to display a user interface including the predetermined condition corresponding to the spatiotemporal output.