Compensation for respiratory motion-induced signal loss and phase corruption in free-breathing self-navigated cine DENSE using deep learning.

Mohamad Abdi,Kenneth C Bilchick,Frederick H Epstein

Magnetic resonance in medicine（2023）

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摘要

DENSE-RESP-NET is an effective method to correct for breathing-associated constant phase errors. DENSE-RESP-NET used in concert with self-navigation methods provides reliable free-breathing DENSE myocardial strain measurement.

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关键词

DENSE MRI,deep learning,free-breathing MRI,myocardial strain,respiratory motion compensation

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