期刊
NEUROIMAGE
卷 142, 期 -, 页码 384-396出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2016.08.016
关键词
Marchenko-Pastur distribution; Precision; Accuracy; PCA
资金
- Research Foundation - Flanders (FWO) [12S1615N]
- agency for Innovation by Science and Technology Flanders (IWT) [SB121013]
- Raymond and Beverly Sackler Laboratories for Convergence of Physical, Engineering and Biomedical Sciences
- Litwin Foundation for Alzheimer's Research
- National Institute of Neurological Disorders and Stroke of the NIH [R01NS088040]
- National Institute of Dental and Craniofacial Research (NIDCR)
- National Institute of Mental Health (NIMH)
- National Institute of Neurological Disorders and Stroke (NINDS)
We introduce and evaluate a post-processing technique for fast denoising of diffusion-weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal properties of the eigenspectrum of random covariance matrices, we remove noise-only principal components, thereby enabling signal-to-noise ratio enhancements. This yields parameter maps of improved quality for visual, quantitative, and statistical interpretation. By studying statistics of residuals, we demonstrate that the technique suppresses local signal fluctuations that solely originate from thermal noise rather than from other sources such as anatomical detail. Furthermore, we achieve improved precision in the estimation of diffusion parameters and fiber orientations in the human brain without compromising the accuracy and spatial resolution. (C) 2016 Elsevier Inc. All rights reserved.
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