Meeting Banner
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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords