Comparative exploration of whole-body MR through locally rigid transforms

Purpose   Whole-body MRI is seeing increasing use in the study and diagnosis of disease progression. In this, a central task is the visual assessment of the progressive changes that occur between two whole-body MRI datasets, taken at baseline and follow-up. Current radiological workflow for this con...

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Main Authors: Dzyubachyk, Oleh, Blaas, Jorik, Botha, Charl P., Staring, Marius, Reijnierse, Monique, Bloem, Johan L., van der Geest, Rob J., Lelieveldt, Boudewijn P. F.
Format: Online
Language:English
Published: Springer Berlin Heidelberg 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702961/
id pubmed-3702961
recordtype oai_dc
spelling pubmed-37029612013-07-15 Comparative exploration of whole-body MR through locally rigid transforms Dzyubachyk, Oleh Blaas, Jorik Botha, Charl P. Staring, Marius Reijnierse, Monique Bloem, Johan L. van der Geest, Rob J. Lelieveldt, Boudewijn P. F. Original Article Purpose   Whole-body MRI is seeing increasing use in the study and diagnosis of disease progression. In this, a central task is the visual assessment of the progressive changes that occur between two whole-body MRI datasets, taken at baseline and follow-up. Current radiological workflow for this consists in manual search of each organ of interest on both scans, usually on multiple data channels, for further visual comparison. Large size of datasets, significant posture differences, and changes in patient anatomy turn manual matching in an extremely labor-intensive task that requires from radiologists high concentration for long period of time. This strongly limits the productivity and increases risk of underdiagnosis. Springer Berlin Heidelberg 2013-06-01 2013-07 /pmc/articles/PMC3702961/ /pubmed/23729332 http://dx.doi.org/10.1007/s11548-013-0820-z Text en © The Author(s) 2013 Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Dzyubachyk, Oleh
Blaas, Jorik
Botha, Charl P.
Staring, Marius
Reijnierse, Monique
Bloem, Johan L.
van der Geest, Rob J.
Lelieveldt, Boudewijn P. F.
spellingShingle Dzyubachyk, Oleh
Blaas, Jorik
Botha, Charl P.
Staring, Marius
Reijnierse, Monique
Bloem, Johan L.
van der Geest, Rob J.
Lelieveldt, Boudewijn P. F.
Comparative exploration of whole-body MR through locally rigid transforms
author_facet Dzyubachyk, Oleh
Blaas, Jorik
Botha, Charl P.
Staring, Marius
Reijnierse, Monique
Bloem, Johan L.
van der Geest, Rob J.
Lelieveldt, Boudewijn P. F.
author_sort Dzyubachyk, Oleh
title Comparative exploration of whole-body MR through locally rigid transforms
title_short Comparative exploration of whole-body MR through locally rigid transforms
title_full Comparative exploration of whole-body MR through locally rigid transforms
title_fullStr Comparative exploration of whole-body MR through locally rigid transforms
title_full_unstemmed Comparative exploration of whole-body MR through locally rigid transforms
title_sort comparative exploration of whole-body mr through locally rigid transforms
description Purpose   Whole-body MRI is seeing increasing use in the study and diagnosis of disease progression. In this, a central task is the visual assessment of the progressive changes that occur between two whole-body MRI datasets, taken at baseline and follow-up. Current radiological workflow for this consists in manual search of each organ of interest on both scans, usually on multiple data channels, for further visual comparison. Large size of datasets, significant posture differences, and changes in patient anatomy turn manual matching in an extremely labor-intensive task that requires from radiologists high concentration for long period of time. This strongly limits the productivity and increases risk of underdiagnosis.
publisher Springer Berlin Heidelberg
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3702961/
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