biostudies-literatureHuang KCMinistry of Science and Technology, Taiwan2274-2286https://www.ebi.ac.uk/biostudies/studies/S-EPMC11522271biostudies-literatureUnknown37(5)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 creJournal of imaging informatics in medicineLeft Ventricular Segmentation, Warping, and Myocardial Registration for Automated Strain Measurement.PMC11522271MOST 111-2628-B-002-034-MY3MOST 110-2314-B002-210-MY3Lee CKLin DSLin TTLin LYHuang KCJeng GSLin LCfalseLeft Ventricular Segmentation, Warping, and Myocardial Registration for Automated Strain Measurement.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 cre2024-01-01T00:00:00Z2024 Oct2026-07-15T14:41:40.918Z2025-04-06T15:23:47.431ZS-EPMC115222713863980610.1007/s10278-024-01119-5