Abstract #5517

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

Antoine Klauser¹, Dimitri Van De Ville^1,2, 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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