A Novel Criterion for Characterizing Diffusion Anisotropy in HARDI Data Based on the MDL Technique

Zhang, Huaizhong, McGinnity, T.M, Coleman, S.A and Jing, M (2010) A Novel Criterion for Characterizing Diffusion Anisotropy in HARDI Data Based on the MDL Technique. Medical Biometrics, Second International Conference, ICMB 2010,, 28th June 2010 - 30th June 2010, Hong Kong, China,, 6165, pp. 413-422, ISBN 978-3-642-13923-9, DOI https://doi.org/10.1007/978-3-642-13923-9.

Item not available from this archive. (Request a copy)

Abstract

Based on the spherical harmonic decomposition of HARDI data, we propose a new criterion for characterizing the diffusion anisotropy in a voxel directly from the SH coefficients. Essentially, by considering the Rician noise in diffusion data, we modify the Rissanen’s criterion for fitting the diffusion situation in a voxel. In addition, the minimum description length (MDL) criterion has been employed for interpreting information from both the SH coefficients and the data. The criterion obtained can make use of the diffusion information so as to efficiently separate the different diffusion distributions. Various synthetic datasets have been used for verifying our method. The experimental results show the performance of the proposed criterion is accurate.

Item Type: Conference or Workshop Item (Proceedings)
Subjects: T Technology > T Technology (General)
Divisions: Computing and Information Systems
Date Deposited: 27 Feb 2017 12:37
URI: http://repository.edgehill.ac.uk/id/eprint/8751

Archive staff only

Item control page Item control page