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Abstract #5517

Low-Rank TGV Reconstruction of High-Resolution 1H-FID-MRSI of whole brain slices

Antoine Klauser1, Dimitri Van De Ville1,2, and François Lazeyras1

1Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland, 2Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

High resolution MRSI data were acquired with 2D FID-MRSI at 3T and a post-processing including lipid suppression, low-rank approximation and TGV-reconstruction is proposed. The resulting metabolic images of tNAA, tCre, Cho, Ins and Glx showed a substantial gain in quality, CRLB values associated and the SNR. This effect was particularly marked for lower signal metabolite: Ins and Glx. In addition, the proposed post-processing reconstructed efficiently under-sampled data allowing a 2- or 4-fold acquisition acceleration.

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