US 12,322,104 B2
Apparatus and methods for generating a three-dimensional (3D) model of cardiac anatomy via machine-learning
Abhijith Chunduru, Bengaluru (IN); Uddeshya Upadhyay, Bengaluru (IN); Suthirth Vaidya, Bengaluru (IN); Sai Saketh Chennamsetty, Bengaluru (IN); and Arjun Puranik, San Jose, CA (US)
Assigned to Anumana, Inc., Cambridge, MA (US)
Filed by Anumana, Inc., Cambridge, MA (US)
Filed on Jun. 21, 2024, as Appl. No. 18/750,411.
Application 18/750,411 is a continuation of application No. 18/376,688, filed on Oct. 4, 2023, granted, now 12,154,273.
Prior Publication US 2025/0117928 A1, Apr. 10, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus for generating a three-dimensional (3D) model of cardiac anatomy via machine-learning, wherein the apparatus comprises:
at least a processor; and
a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to:
receive a set of images of a cardiac anatomy pertaining to a subject;
generate cardiac anatomy training data using a 3D heart model, wherein the cardiac anatomy training data comprises a plurality of synthetic images;
train a cardiac anatomy modeling model using the generated cardiac anatomy training data;
generate a three-dimensional (3D) data structure representing the cardiac anatomy using the trained cardiac anatomy modeling model; and
refine an initial 3D model as a function of the 3D data structure representing the cardiac anatomy.