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Dataset Information

Improved phosphorus MRSI acquisition through compressed sensing acceleration combined with low-rank reconstruction.


ABSTRACT:

Objectives

Phosphorus-31 magnetic resonance spectroscopic imaging (31P-MRSI) is a non-invasive tool for assessing cellular high-energy metabolism in-vivo. However, its acquisition suffers from a low sensitivity, which necessitates large voxel sizes or multiple averages to achieve an acceptable signal-to-noise ratio (SNR), resulting in long scan times.

Materials and methods

To overcome these limitations, we propose an acquisition and reconstruction scheme for FID-MRSI sequences. Specifically, we employed Compressed Sensing (CS) and Low-Rank (LR) with Total Generalized Variation (TGV) regularization in a combined CS-LR framework. Additionally, we used a novel approach to k-space undersampling that utilizes distinct pseudo-random patterns for each average. To evaluat

SUBMITTER: Songeon J 

PROVIDER: S-EPMC11914371 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature