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3D ultra-short echo time 31P-MRSI with rosette k-space pattern: Feasibility and comparison with conventional weighted CSI.
Bozymski, Brian; Emir, Uzay; Dydak, Ulrike; Shen, Xin; Thomas, M Albert; Özen, Ali; Chiew, Mark; Clarke, William; Sawiak, Stephen.
Affiliation
  • Bozymski B; School of Health Sciences, Purdue University.
  • Emir U; School of Health Sciences, Purdue University.
  • Dydak U; School of Health Sciences, Purdue University.
  • Shen X; Radiology and Biomedical Imaging, University of California San Francisco.
  • Thomas MA; Department of Radiology, University of California.
  • Özen A; Department of Radiology, Medical Physics, Medical Center - University of Freiburg.
  • Chiew M; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences.
  • Clarke W; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences.
  • Sawiak S; Department of Clinical Neuroscience, University of Cambridge.
Res Sq ; 2024 Apr 08.
Article in En | MEDLINE | ID: mdl-38659806
ABSTRACT
Phosphorus-31 magnetic resonance spectroscopic imaging (31P-MRSI) provides valuable non-invasive in vivo information on tissue metabolism but is burdened by poor sensitivity and prolonged scan duration. Ultra-short echo time (UTE) acquisitions minimize signal loss when probing signals with relatively short spin-spin relaxation time (T2), while also preventing first-order dephasing. Here, a three-dimensional (3D) UTE sequence with a rosette k-space trajectory is applied to 31P-MRSI at 3T. Conventional chemical shift imaging (CSI) employs highly regular Cartesian k-space sampling, susceptible to substantial artifacts when accelerated via undersampling. In contrast, this novel sequence's "petal-like" pattern offers incoherent sampling more suitable for compressed sensing (CS). These results showcase the competitive performance of UTE rosette 31P-MRSI against conventional weighted CSI with simulation, phantom, and in vivo leg muscle comparisons.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Res Sq Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Res Sq Year: 2024 Document type: Article Country of publication: