Title :
A Regularization Method Based on the Correlations of Diffusion Weighted Images
Author :
Yi Sanli ; Chen Zhencheng ; Ling Hongli ; Jiang pei ; Li Weng
Author_Institution :
Biomed. Eng. Inst., Central South Univ., Changsha, China
Abstract :
Diffusion weighted images are affected by several artifacts and noise which complicate the analysis and interpretation of DTI data. The method we present in this thesis works for the regularization of DTI data, which takes into account all the relations of DWI components, including relations of the values at different encoding directions. Our method is based on the theory of Wiener filter, and we molded it to filter the DWI dataset The method was illustrated by the synthetic and real data and the result has supported the filtering methodology proposed in this thesis.
Keywords :
biomedical MRI; correlation methods; filtering theory; image coding; medical image processing; MR images; Wiener filter theory; diffusion tensor imaging; diffusion weighted images; encoding; filtering methodology; regularization method; Biomedical computing; Biomedical engineering; Diffusion tensor imaging; Encoding; Filtering theory; Image analysis; Rician channels; Smoothing methods; Tensile stress; Wiener filter;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5304865
