Facilitating coronary artery evaluation in MDCT using a 3D automatic vessel segmentation tool
Facilitating coronary artery evaluation in MDCT using a 3D automatic vessel segmentation tool
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DOI：
10.1007/s00330-006-0159-8
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发表时间：
2006-08-01
影响因子：
5.9
通讯作者：
Vogl, Thomas J.
中科院分区：
文献类型：
--
作者：
Khan, M. Fawad;Wesarg, Stefan;Vogl, Thomas J.
本研究的目的是使用16排MDCT数据集研究3D冠状动脉分割算法。50例患者接受了心脏CT（Sensation 16，Siemens）和冠状动脉造影。进行冠状动脉狭窄的自动和手动检测。使用3D冠状动脉分割算法（Fraunhofer Institute for Computer Graphics，达姆施塔特）进行自动评价。对直径> 1.5 mm的血管中的所有显著狭窄（> 50%）进行了记录。每种检测工具由一名读片员使用，该读片员对其他检测方法的结果和冠状动脉造影结果不知情。确定自动和手动检测的灵敏度和特异性，以及两种基于CT的评价方法的时间。自动和手动方法的总体灵敏度和特异性分别为93.1 vs. 95.83%和86.1 vs. 81.9%。自动评估所需的时间明显短于手动方法，即，自动入路为246.04 ± 43.17 s，手动入路为526.88 ± 45.71 s（P < 0.0001）。在94%的冠状动脉分支中，自动检测所需的时间比手动方法少。自动冠状动脉血管评价是可行的。它减少了心脏CT评价所需的时间，具有相似的灵敏度和特异性，并有助于以标准化的方式评价MDCT冠状动脉造影。
The purpose of this study was to investigate a 3D coronary artery segmentation algorithm using 16-row MDCT data sets. Fifty patients underwent cardiac CT (Sensation 16, Siemens) and coronary angiography. Automatic and manual detection of coronary artery stenosis was performed. A 3D coronary artery segmentation algorithm (Fraunhofer Institute for Computer Graphics, Darmstadt) was used for automatic evaluation. All significant stenoses (> 50%) in vessels > 1.5 mm in diameter were protocoled. Each detection tool was used by one reader who was blinded to the results of the other detection method and the results of coronary angiography. Sensitivity and specificity were determined for automatic and manual detection as well as was the time for both CT-based evaluation methods. The overall sensitivity and specificity of the automatic and manual approach were 93.1 vs. 95.83% and 86.1 vs. 81.9%. The time required for automatic evaluation was significantly shorter than with the manual approach, i.e., 246.04 +/- 43.17 s for the automatic approach and 526.88 +/- 45.71 s for the manual approach (P < 0.0001). In 94% of the coronary artery branches, automatic detection required less time than the manual approach. Automatic coronary vessel evaluation is feasible. It reduces the time required for cardiac CT evaluation with similar sensitivity and specificity as well as facilitates the evaluation of MDCT coronary angiography in a standardized fashion.