US 12,322,100 B2
Automatic clinical workflow that recognizes and analyzes 2D and doppler modality echocardiogram images for automated cardiac measurements and grading of aortic stenosis severity
James Otis Hare, II, Singapore (SG); Su Ping Carolyn Lam, Singapore (SG); Yoran Hummel, Singapore (SG); Matthew Frost, Singapore (SG); Mathias Iversen, Singapore (SG); Cyril Equilbec, Singapore (SG); and Zhubo Jiang, Singapre (SG)
Assigned to EKO.AI PTE. LTD., Singapore (SG)
Filed by EKO.AI PTE. LTD., Singapore (SG)
Filed on May 11, 2023, as Appl. No. 18/316,010.
Application 18/316,010 is a continuation in part of application No. 17/219,611, filed on Mar. 31, 2021, granted, now 11,931,207.
Application 17/219,611 is a continuation in part of application No. 16/216,929, filed on Dec. 11, 2018, granted, now 10,631,828, issued on Apr. 28, 2020.
Prior Publication US 2023/0351593 A1, Nov. 2, 2023
Int. Cl. G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G16H 30/40 (2018.01); G16H 70/20 (2018.01)
CPC G06T 7/0012 (2013.01) [G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/49 (2022.01); G16H 30/40 (2018.01); G16H 70/20 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/031 (2022.01)] 23 Claims
OG exemplary drawing
 
1. A computer-implemented method for grading of Aortic Stenosis severity performed by an automated workflow engine executed by at least one processor, the method comprising:
receiving, from a memory, a plurality of echocardiogram images a heart;
separating the plurality of echocardiogram (echo) images according to 2D images and Doppler modality images;
classifying the 2D images by view type, including PLAX (parasternal long axis);
classifying the Doppler modality images by region, including CW AoV (Continuous Wave Aortic Valve Doppler) and PW LVOT (Pulsed Wave Left Ventricular Outflow Tract Doppler);
segmenting regions of interest in the 2D images to produce segmented 2D images, including PLAX segmented images;
segmenting the Doppler modality images to generate waveform traces to produce segmented Doppler modality images including CW AoV and PW LVOT segmented images;
using both the segmented 2D images and the segmented Doppler modality images to calculate measurements of cardiac features of the heart;
generating a conclusion of aortic stenosis severity by comparing the calculated measurements to cardiac guidelines; and
outputting a report showing the calculated measurements of the cardiac features that fall within or outside of the cardiac guidelines.