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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