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Abstract #4378

Characterizing intravoxel spatial distribution of diffusion based on texture analysis

Suguru Yokosawa1,2, Toru Shirai1, Hisaaki Ochi1, and Yoshitaka Bito3
1Research & Development Group, Hitachi, Ltd., Tokyo, Japan, 2Graduate School of Engineering, Chiba University, Chiba, Japan, 3Healthcare Business Unit, Hitachi, Ltd., Tokyo, Japan

In this study, we proposed a method for characterizing intravoxel spatial distribution of diffusion by using texture analysis with GLCM (gray level cooccurrence matrix) from single-shell diffusion MRI data, which can be acquired in practical scan time. Since the method does not assume a diffusion distribution model, unstable calculation such as fitting process is not required. The method could provide novel diagnostic indices of diffusion MRI without additional acquisition.

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