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A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1845792215

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images

About this item

Full title

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images

Publisher

New York: Springer US

Journal title

International journal of computer vision, 2016-12, Vol.120 (3), p.272-299

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Diffusion tensor magnetic resonance imaging (DT-MRI) is a non-invasive imaging technique allowing to estimate the molecular self-diffusion tensors of water within surrounding tissue. Due to the low signal-to-noise ratio of magnetic resonance images, reconstructed tensor images usually require some sort of regularization in a post-processing step. P...

Alternative Titles

Full title

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1845792215

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1845792215

Other Identifiers

ISSN

0920-5691

E-ISSN

1573-1405

DOI

10.1007/s11263-016-0909-2

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