MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mapping

Cardiac T1 mapping is a valuable quantitative MRI technique for diagnosing diffuse myocardial diseases. Traditional methods, relying on breath-hold sequences and cardiac triggering based on an ECG signal, face challenges with patient compliance, limiting their effectiveness. Image registration can e...

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Bibliographic Details
Published in:	Medical image analysis Vol. 102; p. 103495
Main Authors:	Hanania, Eyal, Zehavi-Lenz, Adi, Volovik, Ilya, Link-Sourani, Daphna, Cohen, Israel, Freiman, Moti
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.05.2025
Subjects:	Algorithms Deep Learning Free-breathing MRI Heart - diagnostic imaging Humans Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Model-based deep learning Motion Motion correction Myocardial imaging T1 mapping Motion correction Deep learning Free-breathing MRI T1 mapping Myocardial imaging Model-based deep learning
ISSN:	1361-8415, 1361-8423, 1361-8423
Online Access:	Get full text
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