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Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets

Jian Zhang1,2, Geng Chen3,2, Yong Zhang4

  • 1School of Information and Electrical Engineering, Hunan University of Science & Technology, Xiangtan, China.

Computational Diffusion MRI : MICCAI Workshop
|October 17, 2017
PubMed
Summary

We developed a novel wavelet frame method to denoise diffusion-weighted (DW) images, preserving essential features. This approach enhances the reliability of quantitative analysis in medical imaging.

Keywords:
Diffusion-weighted imagingmulti-channel frameletsnoncentral chi noisesparse representationtight wavelet frames

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