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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Zhanxiong Wu1, Thomas Potter2, Dongnan Wu3
1School of Electronic Information, Hangzhou Dianzi University, Hangzhou, Zhejiang, 310018, China; Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
A new denoising method combines Singular Value Decomposition (SVD) and Non-Local Means (NLM) filtering to reduce Rician noise in High Angular Resolution Diffusion Imaging (HARDI). This SVD-NLM approach enhances diffusion imaging data quality and structural detail preservation.
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