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Open Access
Peer-reviewed
Research Article
Automated 3D Volumetry of the Pulmonary Arteries based on Magnetic Resonance Angiography Has Potential for Predicting Pulmonary Hypertension
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Fabian Rengier ,
* E-mail: fabian.rengier@web.de
Affiliations Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Department of Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
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Stefan Wörz,
Affiliation Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, BIOQUANT, IPMB, and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
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Claudius Melzig,
Affiliations Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
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Sebastian Ley,
Affiliations Radiology Isar Klinikum, Sonnenstrasse 22-24, 80331 Munich, Germany, Clinical Radiology, Ludwig Maximilians University Hospital Munich, Marchioninistraße 15, 81377 Munich, Germany
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Christian Fink,
Affiliations Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany, Department of Radiology, AKH Celle, Siemensplatz 4, 29223 Celle, Germany
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Nicola Benjamin,
Affiliations Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Centre for Pulmonary Hypertension, Thoraxklinik at the University Hospital Heidelberg, Röntgenstraße 1, 69126 Heidelberg, Germany
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Sasan Partovi,
Affiliation Department of Radiology, University Hospitals Case Medical Center, Case Western Reserve University, 11100 Euclid Ave, Cleveland, Ohio, United States of America
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Hendrik von Tengg-Kobligk,
Affiliations Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Department of Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany, Institute for Diagnostic, Interventional and Paediatric Radiology, University Hospital Bern, Inselspital, Freiburgstr. 10, 3010 Bern, Switzerland
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Karl Rohr,
Affiliation Department of Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, BIOQUANT, IPMB, and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
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Hans-Ulrich Kauczor,
Affiliations Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Department of Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
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Ekkehard Grünig
Affiliations Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), University of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany, Centre for Pulmonary Hypertension, Thoraxklinik at the University Hospital Heidelberg, Röntgenstraße 1, 69126 Heidelberg, Germany
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Automated 3D Volumetry of the Pulmonary Arteries based on Magnetic Resonance Angiography Has Potential for Predicting Pulmonary Hypertension
- Fabian Rengier,
- Stefan Wörz,
- Claudius Melzig,
- Sebastian Ley,
- Christian Fink,
- Nicola Benjamin,
- Sasan Partovi,
- Hendrik von Tengg-Kobligk,
- Karl Rohr,
- Hans-Ulrich Kauczor
- Published: September 14, 2016
- https://doi.org/10.1371/journal.pone.0162516