Free-Running Time-Resolved First-Pass Myocardial Perfusion Using a Multi-Scale Dynamics Decomposition: CMR-MOTUS

TL;DR

This paper introduces CMR-MOTUS, a novel MRI reconstruction method that captures dynamic myocardial perfusion without needing a static reference image, reducing scan time and complexity.

Contribution

It extends the MR-MOTUS framework by integrating low-rank plus sparse decomposition to handle contrast variations and eliminate the need for a pre-acquired reference image.

Findings

Successfully disentangles dynamic components of perfusion images.

Produces high-quality motion fields and motion-corrected images.

Reduces examination time and complexity.

Abstract

We present a novel approach for the reconstruction of time-resolved free-running first-pass myocardial perfusion MRI, named CMR-MOTUS. This method builds upon the MR-MOTUS framework and addresses the challenges of a contrast varying reference image. By integrating a low-rank plus sparse (L+S) decomposition, CMR-MOTUS efficiently captures both motion fields and contrast variations. This innovative technique eliminates the need for acquiring a motion-static reference image prior to the examination, thereby reducing examination time and complexity for cardiac MRI examinations. Our results demonstrate that CMR-MOTUS can successfully disentangle different dynamic components, offering high-quality motion fields and motion correct a myocardial first-pass perfusion image series.