小鼠后肢缺血模型磁共振血管成像血管树和侧支血管体积的交互式三维分析。

Peter C Marks, Marilena Preda, Terry Henderson, Lucy Liaw, Volkhard Lindner, Robert E Friesel, Ilka M Pinz
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引用次数: 11

摘要

从磁共振血管成像(MRA)或μCT图像中定量分析血管体积是困难且耗时的。这一事实,当与涉及多个受试者的多次扫描的研究相结合时,可以代表研究时间的很大一部分。为了增加分析选项并提供自动化和快速的分析方法,我们为ImageJ和Fiji图像处理框架开发了一个软件插件,使血管段的体积定量能够快速和可重复。新的插件名为体积计算器(VolCal),接受任何二进制(阈值)图像,并产生血管系统的三维原理图表示,可以由研究者直接操作。利用小鼠后肢缺血模型的核磁共振成像,我们展示了快速和可重复的血管体积计算,准确率为95 - 98%。在临床环境中,该软件可以提高图像解释和数据分析的速度,从而提高诸如周围血管疾病或动脉瘤的干预决策。总之,我们提供了一种新颖、快速和互动的血管体积量化方法,用于单个血管或血管段集,特别关注缺血损伤后侧枝的形成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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 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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