NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing
•We propose a framework, NORDIC, for denoising complex valued dMRI data using Gaussian statistics.•The main feature of the proposed method is to only remove signal components which cannot be distinguished from thermal noise.•Quantitative evaluation of NORDIC is performed across different resolutions...
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| Published in: | NeuroImage (Orlando, Fla.) Vol. 226; p. 117539 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Inc
01.02.2021
Elsevier Limited Elsevier |
| Subjects: | |
| ISSN: | 1053-8119, 1095-9572, 1095-9572 |
| Online Access: | Get full text |
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