Interactive 3D analysis of blood vessel trees and collateral vessel volumes in magnetic resonance angiograms in the mouse ischemic hindlimb model.
Document Type
Article
Publication Date
10-31-2013
Institution/Department
MMCRI
Journal Title
The open medical imaging journal
MeSH Headings
Angiography; Peripheral Vascular Diseases; Mice; Magnetic Resonance Spectroscopy
Abstract
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.
ISSN
1874-3471
First Page
19
Last Page
27
Recommended Citation
Marks, Peter C; Preda, Marilena; Henderson, Terry; Liaw, Lucy; Lindner, Volkhard; Friesel, Robert E; and Pinz, Ilka M, "Interactive 3D analysis of blood vessel trees and collateral vessel volumes in magnetic resonance angiograms in the mouse ischemic hindlimb model." (2013). MaineHealth Maine Medical Center. 85.
https://knowledgeconnection.mainehealth.org/mmc/85