Keywords: Myocardium, Image Reconstruction, First-Pass Myocardial Perfusion; Motion estimation; Motion correction; Low-Rank & Sparse; Time-resolved imaging; Cine; Dynamic; Perfusion; Cardiac
Motivation: We aim at improving accuracy and reliability in cardiac imaging for coronary artery disease diagnosis and management. We address motion artifacts in first-pass myocardial perfusion MR imaging.
Goal(s): To develop and validate motion correction techniques for motion field accuracy and strain quantification in non-ECG triggered myocardial first pass perfusion examinations.
Approach: We use a modified MR-MOTUS framework for motion separation and reconstruction in patient data.
Results: Our approach demonstrates higher accuracy in respiratory/cardiac motion field estimation with additional strain analysis.
Impact: Our findings have the potential to improve patient care by enabling free-breathing and non-ECG triggered examinations of myocardial first-pass perfusion simultaneously with strain analysis. We also open avenues for further research in cardiac imaging and motion correction techniques.
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