Systems and methods for anatomic structure segmentation in image analysis
AssigneeHeartFlow, Inc.
InventorsLeo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
Life of this patent
Estimating the term…
Loading patent…
AssigneeHeartFlow, Inc.
InventorsLeo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
Estimating the term…
Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.
A computer-implemented method of machine-learning based anatomic structure segmentation in image analysis, the method comprising:
A system for performing machine-learning based anatomic structure segmentation in image analysis, comprising:
A non-transitory computer-readable medium comprising instructions for machine-learning based anatomic structure segmentation in image analysis, the instructions executable by one or more processors to perform operations, including:
Dependencies are inferred from the claim text.