Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D mult...
Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D multi echo quantitative T2 relaxometry data
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Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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Contents
We present a computationally feasible and iterative multi-voxel spatially regularized algorithm for myelin water fraction (MWF) reconstruction. This method utilizes 3D spatial correlations present in anatomical/pathological tissues and underlying B1+-inhomogeneity or flip angle inhomogeneity to enhance the noise robustness of the reconstruction whi...
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Full title
Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D multi echo quantitative T2 relaxometry data
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6492294
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6492294
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2018.05.026
