Automatic clinical workflow that recognizes and analyzes 2D and doppler modality echocardiogram images for automated cardiac measurements and grading of aortic stenosis severity

A system, comprising:

• a memory storing a plurality of echocardiogram images taken by an ultrasound device of a heart;
• at least one processor coupled to the memory;
• and
• a workflow engine, which when executed by the at least one processor is configurable to:
• receive, from a memory, a plurality of echocardiogram images a patient heart;
• separate the plurality of echocardiogram (echo) images according to 2D images and Doppler modality images;
• classify the 2D images by view type, including PLAX (parasternal long axis);
• classify the Doppler modality images by region, including CW AoV (Continuous Wave Aortic Valve Doppler) and PW LVOT (Pulsed Wave Left Ventricular Outflow Tract Doppler);
• segment regions of interest in the 2D images to produce segmented 2D images, including PLAX segmented images;
• segment the Doppler modality images to generate waveform traces to produce segmented Doppler modality images including CW AoV and PW LVOT segmented images;
• use both the segmented 2D images and the segmented Doppler modality images to calculate measurements of cardiac features of the heart;
• generate a conclusion of Aortic Stenosis severity by comparing the calculated measurements to cardiac guidelines;
• and
• output a report showing the calculated measurements of the cardiac features that fall within or outside of the cardiac guidelines.

An executable software product stored on a non-transitory computer-readable medium containing program instructions for implementing an automated workflow for grading of aortic stenosis severity, which when executed by a set of one or more processors, are configurable to cause the set of one processors to perform operations comprising:

• receiving, from a memory, a patient study comprising a plurality of echocardiogram images taken by an ultrasound device of a heart;
• separating, by a filter, the plurality of echocardiogram (echo) images according to 2D images and Doppler modality images based on analyzing image metadata;
• classifying the 2D images by view type, including PLAX (parasternal long axis);
• classifying the Doppler modality images by view type 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 for both left and right sides of the heart;
• generating a conclusion of Aortic Stenosis severity by comparing the calculated measurements with International to cardiac guidelines;
• and
• outputting a report showing the calculated measurements of the cardiac features that fall both within and or outside of the International cardiac guidelines.