WE-G-217A-04: Segmenting Limbic Circuit Fiber Tracts for Quantifying Changes in Diffusion Indices Due to Partial Radiation Therapy

Medical Physics
Mohammad-Reza Nazem-ZadehYue Cao

Abstract

To segment the cingulum, fornix and the corpus callosum using diffusion weighted images, in order to evaluate the radiation-induced damage on these important white matter structures Methods: We propose a seed-based tractography algorithm for segmenting the entire cingulum into the left and right anterior, superior, and posterior subdivisions. In that algorithm, multiple ROIs (regions of interest) for tractography are automatically created from seeded points by a level-set segmentation algorithm. Moreover, we propose new ROI placements for fornix tractography. Furthermore, a new subdividing method is proposed for supporting the possible rotation in the corpus callosum longitudinal axis in presence of glioma tumors. To test the reproducibility of the proposed algorithm for segmenting the cingulum, test-retest diffusion tensor data-sets of twelve patients were chosen from the National Biomedical Imaging Archive database. We calculated the Dice coefficients of the volumetric overlap between the test and retest cingulum segments. Twenty-two patients with low grade brain gliomas underwent 6-week fractionated radiation therapy (RT). The patients prospectively enrolled MRI with diffusion tensor imaging up to 18 months after starting RT...Continue Reading

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