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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4712457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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