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Abstract #3989

Unsupervised Brain Tumor Tissue Differentiation Based on MRSI with Correction for the Chemical Shift Displacement Artifact

Diana M. Sima1, 2, Sofie Van Cauter3, Yuqian Li4, Anca R. Croitor-Sava1, 2, Uwe Himmelreich5, Sabine Van Huffel1, 2

1Electrical Engineering / ESAT-SCD, KU Leuven, Heverlee, Leuven, Belgium; 2Future Health Department, iMinds, Heverlee, Leuven, Belgium; 3Department of Radiology, University Hospitals Leuven, Leuven, Belgium; 4School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China; 5Department of Imaging & Pathology, Biomedical MRI Unit, KU Leuven, Leuven, Belgium

We propose and validate a new computational method for unsupervised tissue differentiation for brain tumor patients, based on short echo time 2D magnetic resonance spectroscopic imaging data, which takes into account possible spectral distortions due to significant Chemical Shift Displacement artifact.