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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