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Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-hig...

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-hig...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2475093746

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

About this item

Full title

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

European radiology, 2021-07, Vol.31 (7), p.4700-4709

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Objectives
We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR), hybrid iterative reconstruction (hybrid-IR), or model-based IR (MBIR) in comparison with standard-dose (SD) U-HRCT images reconstructed with hybrid-IR as the reference standard t...

Alternative Titles

Full title

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2475093746

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2475093746

Other Identifiers

ISSN

0938-7994

E-ISSN

1432-1084

DOI

10.1007/s00330-020-07566-2

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