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Noise-optimized virtual monoenergetic images and iodine maps for the detection of venous thrombosis...

Noise-optimized virtual monoenergetic images and iodine maps for the detection of venous thrombosis...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1680176905

Noise-optimized virtual monoenergetic images and iodine maps for the detection of venous thrombosis in second-generation dual-energy CT (DECT): an ex vivo phantom study

About this item

Full title

Noise-optimized virtual monoenergetic images and iodine maps for the detection of venous thrombosis in second-generation dual-energy CT (DECT): an ex vivo phantom study

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

European radiology, 2015-06, Vol.25 (6), p.1655-1664

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Aims and objectives
Deep venous thrombosis (DVT) can be difficult to detect using CT due to poor and heterogeneous contrast. Dual-energy CT (DECT) allows iodine contrast optimization using noise-optimized monoenergetic extrapolations (MEIs) and iodine maps (IMs). Our aim was to assess whether MEI and IM could improve the delineation of thromboti...

Alternative Titles

Full title

Noise-optimized virtual monoenergetic images and iodine maps for the detection of venous thrombosis in second-generation dual-energy CT (DECT): an ex vivo phantom study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1680176905

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1680176905

Other Identifiers

ISSN

0938-7994

E-ISSN

1432-1084

DOI

10.1007/s00330-014-3544-8

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