US 11,676,280 B2
Automated right ventricle medical imaging and computation of clinical parameters
Marina Yaacobi, Beer-Sheva (IL)
Assigned to DiA Imaging Analysis, Beer-Sheva (IL)
Filed by DiA Imaging Analysis, Beer-Sheva (IL)
Filed on Jan. 10, 2021, as Appl. No. 17/145,345.
Prior Publication US 2022/0222825 A1, Jul. 14, 2022
Int. Cl. G06T 7/11 (2017.01); G06T 3/40 (2006.01)
CPC G06T 7/11 (2017.01) [G06T 3/4007 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20104 (2013.01); G06T 2207/20112 (2013.01); G06T 2207/30048 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method of automatically processing two-dimensional (2D) ultrasound images for computing of at least one clinical parameter of a right ventricle (RV), comprising:
selecting one 2D ultrasound image of a plurality of 2D ultrasound images depicting at least a RV of a subject, sequentially captured over at least one cardiac cycle of the subject;
interpolating an inner contour of an endocardial border of the RV for the selected one 2D ultrasound image;
tracking the interpolated inner contour obtained for the one 2D ultrasound image over the plurality of 2D images over the at least one cardiac cycle;
computing, a RV area of the RV for each respective 2D ultrasound image of the plurality of 2D ultrasound images, according to the tracked interpolated inner contour;
identifying a first 2D ultrasound image depicting an end-diastole (ED) state according to a maximal value of the RV area for the plurality of 2D images, and a second 2D US image depicting an end-systole (ES) state according to minimal value of the RV area for the plurality of 2D images; and
computing at least one clinical parameter of the RV according to the identified first 2D ultrasound image depicting the ED state and the second 2D US image depicting the ES state;
classifying the RV into a predefined shape selected from a plurality of predefined shaped for the selected one 2D ultrasound image;
identifying a tricuspid valve of the inner contour;
identifying an apex of the RV on the inner contour; and
dividing the inner contour into a lateral side and a septal side with respect to the apex and the tricuspid valve;
wherein the interpolating comprises interpolating the inner contour of the endocardial border of the RV according to the classified shape for the selected one 2D ultrasound image;
wherein interpolating the inner contour is done each of the lateral side and the septal side according to the classified shape.