Achieving high-resolution ¹H-MRSI of the human brain with compressed-sensing and low-rank reconstruction at 7 Tesla.

ABSTRACT: Low sensitivity MR techniques such as magnetic resonance spectroscopic imaging (MRSI) greatly benefit from the gain in signal-to-noise provided by ultra-high field MR. High-resolution and whole-slab brain MRSI remains however very challenging due to lengthy acquisition, low signal, lipid contamination and field inhomogeneity. In this study, we propose an acquisition-reconstruction scheme that combines ¹H free-induction-decay (FID)-MRSI sequence, short TR acquisition, compressed sensing acceleration and low-rank modeling with total-generalized-variation constraint to achieve metabolite imaging in two and three dimensions at 7 Tesla. The resulting images and volumes reveal highly detailed distributions that are specific to each metabolite and follow the underlying brain anatomy. T

SUBMITTER: Klauser A 

PROVIDER: S-EPMC8717865 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature