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Abstract #1171

Isotropic Diffusion Spectrum Imaging Constrained by Independent Component Analysis with a Ball and Stick Model to Assess Cellularity of Brain Tumors

JEONG-WON JEONG 1,2 , Csaba Juhsz 1,3 , Sandeep Mittal 3,4 , Edit Bosnyk 1 , and Diane C Chugani 1,2

1 Pediatrics and Neurology, Wayne State University, Detroit, MI, United States, 2 Children's Hospital of Michigan, Detroit, MI, United States, 3 Karmanos Cancer Institute, Detroit, MI, United States, 4 Neurosurgery and Oncology, Wayne State University, Detroit, MI, United States

An independent component analysis with ball-stick model (ICA+BSM) was proposed to solve an intra-voxel crossing fiber problem in clinical diffusion tensor imaging (DTI). This study investigates whether the ICA+BSM analysis can be combined with isotropic diffusion spectrum imaging (IDSI) technique to assess the degree of cellularity in tumor-infiltrated white matter tissues in clinical DTI. Compared with apprarent diffusion coefficient image, which provided a moderate accuracy of 0.457 to detect tumor cells in the active tumor region delinated by [11C]methyl-L-tryptophan (AMT)-positron emission tomography, IDSI-derived cell ratio yielded a much higher accuracy of 0.969 in conventional receiver operating characteristic curve analysis.

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