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Abstract #2873

In Vivo MRSI Reconstruction by Low-rank Component Analysis Using 3-D High-resolution Field Inhomogeneity Mapping

Jeffrey Adam Kasten 1,2 , Franois Lazeyras 2 , and Dimitri Van De Ville 1,2

1 Institute of Bioengineering, Ecole Polytechnique Fdrale de Lausanne, Lausanne, Vaud, Switzerland, 2 Department of Radiology and Medical Informatics, Universit de Genve, Geneva, Geneva, Switzerland

Both Fourier and traditional model-based approaches for MRSI reconstruction remain impeded by certain foundational confines, for example, the restriction to coarse rectangular voxels in the former, and the dependence upon water-based structural scans in the later. To overcome these limitations, we recently proposed a novel component-based method, which estimates a low-rank bilinear signal model from the raw measurements with the aid of a few geometrical assumptions. We demonstrate the efficacy of our routine on 1H in vivo 2D MRSI data, exploiting the full 3D information imparted by a static field map acquired over the MRSI slice thickness.

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