Denoise diffusion-weighted images using higher-order singular value decomposition
Denoise diffusion-weighted images using higher-order singular value decomposition
About this item
Full title
Author / Creator
Zhang, Xinyuan , Peng, Jie , Xu, Man , Yang, Wei , Zhang, Zhe , Guo, Hua , Chen, Wufan , Feng, Qianjin , Wu, Ed X. and Feng, Yanqiu
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
Noise usually affects the reliability of quantitative analysis in diffusion-weighted (DW) magnetic resonance imaging (MRI), especially at high b-values and/or high spatial resolution. Higher-order singular value decomposition (HOSVD) has recently emerged as a simple, effective, and adaptive transform to exploit sparseness within multidimensional da...
Alternative Titles
Full title
Denoise diffusion-weighted images using higher-order singular value decomposition
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_1889386125
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1889386125
Other Identifiers
ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2017.04.017
