A deep learning based method for left ventricular strain measurements: repeatability and accuracy compared to experienced echocardiographers

A deep learning based method for left ventricular strain measurements: repeatability and accuracy compared to experienced echocardiographers

Abstract Background Speckle tracking echocardiography (STE) provides quantification of left ventricular (LV) deformation and is useful in the assessment of LV function. STE is increasingly being used clinically, and every effort to simplify and standardize STE is important. Manual outlining of regio...

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Bibliographic Details
Main Authors: Magnus Rogstadkjernet, Sigurd Z. Zha, Lars G. Klæboe, Camilla K. Larsen, John M. Aalen, Esther Scheirlynck, Bjørn-Jostein Singstad, Steven Droogmans, Bernard Cosyns, Otto A. Smiseth, Kristina H. Haugaa, Thor Edvardsen, Eigil Samset, Pål H. Brekke
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Imaging
Subjects:
Speckle-tracking echocardiography
Strain rate imaging
Deep learning
Artificial intelligence
Automation
Online Access:https://doi.org/10.1186/s12880-024-01470-7
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