Denoising high angular resolution diffusion imaging data by combining singular value decomposition and non-local means filter.

Affiliation

Department of Biomedical Engineering, University of Houston, Houston, TX, USA. Electronic address: [Email]

Abstract

High angular resolution diffusion imaging (HARDI) data is typically corrupted with Rician noise. Although larger b-values help to retrieve more accurate angular diffusivity information, they also lead to an increase in noise generation.

Keywords

High angular resolution diffusion imaging,Non-local means filter,Orientation distribution function,Singular value decomposition,