Seiji Kumazawa1, Takashi Yoshiura2, Hiroshi Honda2, Fukai Toyofuku1, Yoshiharu Higashida1
1Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan; 2Department of Clinical Radiology, Kyushu University, Fukuoka, Japan
The performance of the brain segmentation based on diffusion tensor imaging (DTI) data has not been evaluated by using the digital DTI phantoms. We extended the previous DTI phantom model to the partial volume description of diffusion measurements, and investigated the performance of segmentation using the conventional method on the DTI phantom with a partial volume effect (PVE) model. The values of overlap measure between segmentation and the ground truth in the data with a PVE are lower than those without a PVE. These results indicate that a method taking a PVE into account can improve the segmentation performance on DTI data.
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