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Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-...

Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2715441231

Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI

About this item

Full title

Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI

Publisher

Oxford: Elsevier Ltd

Journal title

Computers in biology and medicine, 2022-10, Vol.149, p.106091-106091, Article 106091

Language

English

Formats

Publication information

Publisher

Oxford: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractPurposeTo use deep learning to calculate the uncertainty in apparent diffusion coefficient (σADC) voxel-wise measurements to clinically impact the monitoring of treatment response and improve the quality of ADC maps. Materials and methodsWe use a uniquely designed diffusion-weighted imaging (DWI) acquisition protocol that provides gold-stan...

Alternative Titles

Full title

Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2715441231

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2715441231

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2022.106091

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