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Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model

The quantitative analysis of blood vessel volumes from magnetic resonance angiograms (MRA) or μCT images is difficult and time-consuming. This fact, when combined with a study that involves multiple scans of multiple subjects, can represent a significant portion of research time. In order to enhance...

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Autores principales: Marks, Peter C., Preda, Marilena, Henderson, Terry, Liaw, Lucy, Lindner, Volkhard, Friesel, Robert E., Pinz, Ilka M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929959/
https://www.ncbi.nlm.nih.gov/pubmed/24563682
http://dx.doi.org/10.2174/1874347101307010019
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author Marks, Peter C.
Preda, Marilena
Henderson, Terry
Liaw, Lucy
Lindner, Volkhard
Friesel, Robert E.
Pinz, Ilka M.
author_facet Marks, Peter C.
Preda, Marilena
Henderson, Terry
Liaw, Lucy
Lindner, Volkhard
Friesel, Robert E.
Pinz, Ilka M.
author_sort Marks, Peter C.
collection PubMed
description The quantitative analysis of blood vessel volumes from magnetic resonance angiograms (MRA) or μCT images is difficult and time-consuming. This fact, when combined with a study that involves multiple scans of multiple subjects, can represent a significant portion of research time. In order to enhance analysis options and to provide an automated and fast analysis method, we developed a software plugin for the ImageJ and Fiji image processing frameworks that enables the quick and reproducible volume quantification of blood vessel segments. The novel plugin named Volume Calculator (VolCal), accepts any binary (thresholded) image and produces a three-dimensional schematic representation of the vasculature that can be directly manipulated by the investigator. Using MRAs of the mouse hindlimb ischemia model, we demonstrate quick and reproducible blood vessel volume calculations with 95 – 98% accuracy. In clinical settings this software may enhance image interpretation and the speed of data analysis and thus enhance intervention decisions for example in peripheral vascular disease or aneurysms. In summary, we provide a novel, fast and interactive quantification of blood vessel volumes for single blood vessels or sets of vessel segments with particular focus on collateral formation after an ischemic insult.
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spelling pubmed-39299592014-02-20 Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model Marks, Peter C. Preda, Marilena Henderson, Terry Liaw, Lucy Lindner, Volkhard Friesel, Robert E. Pinz, Ilka M. Open Med Imaging J Article The quantitative analysis of blood vessel volumes from magnetic resonance angiograms (MRA) or μCT images is difficult and time-consuming. This fact, when combined with a study that involves multiple scans of multiple subjects, can represent a significant portion of research time. In order to enhance analysis options and to provide an automated and fast analysis method, we developed a software plugin for the ImageJ and Fiji image processing frameworks that enables the quick and reproducible volume quantification of blood vessel segments. The novel plugin named Volume Calculator (VolCal), accepts any binary (thresholded) image and produces a three-dimensional schematic representation of the vasculature that can be directly manipulated by the investigator. Using MRAs of the mouse hindlimb ischemia model, we demonstrate quick and reproducible blood vessel volume calculations with 95 – 98% accuracy. In clinical settings this software may enhance image interpretation and the speed of data analysis and thus enhance intervention decisions for example in peripheral vascular disease or aneurysms. In summary, we provide a novel, fast and interactive quantification of blood vessel volumes for single blood vessels or sets of vessel segments with particular focus on collateral formation after an ischemic insult. 2013-10-31 /pmc/articles/PMC3929959/ /pubmed/24563682 http://dx.doi.org/10.2174/1874347101307010019 Text en © Marks et al.; Licensee Bentham Open. http://creativecommons.org/licenses/bync/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0/), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Marks, Peter C.
Preda, Marilena
Henderson, Terry
Liaw, Lucy
Lindner, Volkhard
Friesel, Robert E.
Pinz, Ilka M.
Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model
title Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model
title_full Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model
title_fullStr Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model
title_full_unstemmed Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model
title_short Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model
title_sort interactive 3d analysis of blood vessel trees and collateral vessel volumes in magnetic resonance angiograms in the mouse ischemic hindlimb model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3929959/
https://www.ncbi.nlm.nih.gov/pubmed/24563682
http://dx.doi.org/10.2174/1874347101307010019
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