{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Klauser A"],"funding":["Austrian Science Fund FWF","Swiss National Science Foundation","National Cancer Institute","NCI NIH HHS","National Institutes of Health"],"pagination":["107048"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8717865"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["331"],"pubmed_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 <sup>1</sup>H 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. The MRSI method was validated in a high-resolution phantom containing fine metabolite structures, and in five healthy volunteers. This new application of compressed sensing acceleration paves the way for high-resolution MRSI in clinical setting with acquisition times of 5 min for 2D MRSI at 2.5 mm and of 20 min for 3D MRSI at 3.3 mm isotropic."],"journal":["Journal of magnetic resonance (San Diego, Calif. : 1997)"],"pubmed_title":["Achieving high-resolution <sup>1</sup>H-MRSI of the human brain with compressed-sensing and low-rank reconstruction at 7 Tesla."],"pmcid":["PMC8717865"],"funding_grant_id":["R01 CA255479","J 4124","R01 CA211080","IZSEZ0_188859","188859","1R01CA211080"],"pubmed_authors":["Strasser B","Thapa B","Lazeyras F","Klauser A","Andronesi O"],"additional_accession":[]},"is_claimable":false,"name":"Achieving high-resolution <sup>1</sup>H-MRSI of the human brain with compressed-sensing and low-rank reconstruction at 7 Tesla.","description":"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 <sup>1</sup>H 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. The MRSI method was validated in a high-resolution phantom containing fine metabolite structures, and in five healthy volunteers. This new application of compressed sensing acceleration paves the way for high-resolution MRSI in clinical setting with acquisition times of 5 min for 2D MRSI at 2.5 mm and of 20 min for 3D MRSI at 3.3 mm isotropic.","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Oct","modification":"2025-04-04T12:04:30.264Z","creation":"2025-04-04T12:04:30.264Z"},"accession":"S-EPMC8717865","cross_references":{"pubmed":["34438355"],"doi":["10.1016/j.jmr.2021.107048"]}}