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Abstract #5136

Evaluating how far we can minimize MP2RAGE acquisition time with compressed sensing

IKUHIRO KIDA1
1Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan

Synopsis

Keywords: Gray Matter, Gray Matter, MP2RAGE, Compressed sensing

Motivation: To improve experimental efficiency by reducing scan time without compromising the segmentation of gray matter in brain anatomical images.

Goal(s): To evaluate the extent to which scan time can be reduced using MP2RAGE with compressed sensing while preserving image quality.

Approach: This study utilized CS-MP2RAGE and PI-MP2RAGE sequences at 7T with varying acceleration factors to compare the segmentation and T1 values of gray matter.

Results: CS-MP2RAGE reduced the scan times by up to 80% compared to PI-MP2RAGE, with high segmentation similarity in most regions, but there were still issues with gray matter T1 values and contrast and signal uniformity in some areas.

Impact: The significant scan time reduction obtained by CS-MP2RAGE sequence could improve clinical and experimental workflow efficiency, reduce patient discomfort, and expand research possibilities in ultra-high-field MRI.

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Keywords