Left Ventricular Segmentation, Warping, and Myocardial Registration for Automated Strain Measurement.

ABSTRACT: The left ventricular global longitudinal strain (LVGLS) is a crucial prognostic indicator. However, inconsistencies in measurements due to the speckle tracking algorithm and manual adjustments have hindered its standardization and democratization. To solve this issue, we proposed a fully automated strain measurement by artificial intelligence-assisted LV segmentation contours. The LV segmentation model was trained from echocardiograms of 368 adults (11,125 frames). We compared the registration-like effects of dynamic time warping (DTW) with speckle tracking on a synthetic echocardiographic dataset in experiment-1. In experiment-2, we enrolled 80 patients to compare the DTW method with commercially available software. In experiment-3, we combined the segmentation model and DTW method to cre

SUBMITTER: Huang KC 

PROVIDER: S-EPMC11522271 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature