An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited

BACKGROUND: Perfusion imaging has become an important image based tool to derive the physiological information in various applications, like tumor diagnostics and therapy, stroke, (cardio-) vascular diseases, or functional assessment of organs. However, even after 20 years of intense research in thi...

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Autores principales: Zöllner, Frank G., Daab, Markus, Sourbron, Steven P., Schad, Lothar R., Schoenberg, Stefan O., Weisser, Gerald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712457/
https://www.ncbi.nlm.nih.gov/pubmed/26767969
http://dx.doi.org/10.1186/s12880-016-0109-0
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author Zöllner, Frank G.
Daab, Markus
Sourbron, Steven P.
Schad, Lothar R.
Schoenberg, Stefan O.
Weisser, Gerald
author_facet Zöllner, Frank G.
Daab, Markus
Sourbron, Steven P.
Schad, Lothar R.
Schoenberg, Stefan O.
Weisser, Gerald
author_sort Zöllner, Frank G.
collection PubMed
description BACKGROUND: Perfusion imaging has become an important image based tool to derive the physiological information in various applications, like tumor diagnostics and therapy, stroke, (cardio-) vascular diseases, or functional assessment of organs. However, even after 20 years of intense research in this field, perfusion imaging still remains a research tool without a broad clinical usage. One problem is the lack of standardization in technical aspects which have to be considered for successful quantitative evaluation; the second problem is a lack of tools that allow a direct integration into the diagnostic workflow in radiology. RESULTS: Five compartment models, namely, a one compartment model (1CP), a two compartment exchange (2CXM), a two compartment uptake model (2CUM), a two compartment filtration model (2FM) and eventually the extended Toft’s model (ETM) were implemented as plugin for the DICOM workstation OsiriX. Moreover, the plugin has a clean graphical user interface and provides means for quality management during the perfusion data analysis. Based on reference test data, the implementation was validated against a reference implementation. No differences were found in the calculated parameters. CONCLUSION: We developed open source software to analyse DCE-MRI perfusion data. The software is designed as plugin for the DICOM Workstation OsiriX. It features a clean GUI and provides a simple workflow for data analysis while it could also be seen as a toolbox providing an implementation of several recent compartment models to be applied in research tasks. Integration into the infrastructure of a radiology department is given via OsiriX. Results can be saved automatically and reports generated automatically during data analysis ensure certain quality control.
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spelling pubmed-47124572016-01-15 An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited Zöllner, Frank G. Daab, Markus Sourbron, Steven P. Schad, Lothar R. Schoenberg, Stefan O. Weisser, Gerald BMC Med Imaging Software BACKGROUND: Perfusion imaging has become an important image based tool to derive the physiological information in various applications, like tumor diagnostics and therapy, stroke, (cardio-) vascular diseases, or functional assessment of organs. However, even after 20 years of intense research in this field, perfusion imaging still remains a research tool without a broad clinical usage. One problem is the lack of standardization in technical aspects which have to be considered for successful quantitative evaluation; the second problem is a lack of tools that allow a direct integration into the diagnostic workflow in radiology. RESULTS: Five compartment models, namely, a one compartment model (1CP), a two compartment exchange (2CXM), a two compartment uptake model (2CUM), a two compartment filtration model (2FM) and eventually the extended Toft’s model (ETM) were implemented as plugin for the DICOM workstation OsiriX. Moreover, the plugin has a clean graphical user interface and provides means for quality management during the perfusion data analysis. Based on reference test data, the implementation was validated against a reference implementation. No differences were found in the calculated parameters. CONCLUSION: We developed open source software to analyse DCE-MRI perfusion data. The software is designed as plugin for the DICOM Workstation OsiriX. It features a clean GUI and provides a simple workflow for data analysis while it could also be seen as a toolbox providing an implementation of several recent compartment models to be applied in research tasks. Integration into the infrastructure of a radiology department is given via OsiriX. Results can be saved automatically and reports generated automatically during data analysis ensure certain quality control. BioMed Central 2016-01-14 /pmc/articles/PMC4712457/ /pubmed/26767969 http://dx.doi.org/10.1186/s12880-016-0109-0 Text en © Zöllner et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Zöllner, Frank G.
Daab, Markus
Sourbron, Steven P.
Schad, Lothar R.
Schoenberg, Stefan O.
Weisser, Gerald
An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
title An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
title_full An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
title_fullStr An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
title_full_unstemmed An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
title_short An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
title_sort open source software for analysis of dynamic contrast enhanced magnetic resonance images: ummperfusion revisited
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712457/
https://www.ncbi.nlm.nih.gov/pubmed/26767969
http://dx.doi.org/10.1186/s12880-016-0109-0
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