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首页> 外文期刊>Journal of Digital Imaging >Computerized Analysis of Digital Subtraction Angiography: A Tool for Quantitative In-vivo Vascular Imaging
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Computerized Analysis of Digital Subtraction Angiography: A Tool for Quantitative In-vivo Vascular Imaging

机译：数字减影血管造影的计算机分析：定量体内血管成像的工具

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摘要

The purpose of our study was to develop a user-independent computerized tool for the automated segmentation and quantitative assessment of in vivo-acquired digital subtraction angiography (DSA) images. Vessel enhancement was accomplished based on the concept of image structural tensor. The developed software was tested on a series of DSA images acquired from one animal and two human angiogenesis models. Its performance was evaluated against manually segmented images. A receiver’s operating characteristic curve was obtained for every image with regard to the different percentages of the image histogram. The area under the mean curve was 0.89 for the experimental angiogenesis model and 0.76 and 0.86 for the two clinical angiogenesis models. The coordinates of the operating point were 8.3% false positive rate and 92.8% true positive rate for the experimental model. Correspondingly for clinical angiogenesis models, the coordinates were 8.6% false positive rate and 89.2% true positive rate and 9.8% false positive rate and 93.8% true positive rate, respectively. A new user-friendly tool for the analysis of vascular networks in DSA images was developed that can be easily used in either experimental or clinical studies. Its main characteristics are robustness and fast and automatic execution.
机译：我们研究的目的是开发一个独立于用户的计算机化工具，用于对体内获得的数字减影血管造影（DSA）图像进行自动分割和定量评估。血管增强是基于图像结构张量的概念完成的。在从一只动物和两个人血管生成模型获得的一系列DSA图像上测试了开发的软件。针对手动分割的图像评估了其性能。获得了每幅图像相对于图像直方图的不同百分比的接收器工作特性曲线。实验血管生成模型的平均曲线下面积为0.89，两种临床血管生成模型的平均曲线下面积为0.76和0.86。实验模型的工作点坐标为8.3％假阳性率和92.8％真阳性率。相应地，对于临床血管生成模型，坐标分别为假阳性率8.6％，真阳性率89.2％，假阳性率9.8％和真阳性率93.8％。开发了一种新的用户友好工具，用于分析DSA图像中的血管网络，可以轻松地用于实验或临床研究中。它的主要特点是健壮性和快速自动执行。

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