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基于血管造影的冠状动脉狭窄血流动力学严重程度的计算机评估

Computer assessment of hemodynamic severity of coronary artery stenosis from angiograms.

作者信息

Siebes M, D'Argenio D Z, Selzer R H

出版信息

Comput Methods Programs Biomed. 1985 Nov;21(2):143-52. doi: 10.1016/0169-2607(85)90075-6.

DOI:10.1016/0169-2607(85)90075-6
PMID:3853488
Abstract

A computer-assisted analysis of coronary obstructions from cineangiograms is presented, which includes both the geometric and hemodynamic evaluation of coronary stenosis severity. Single frame images are digitized into a 512 X 512 X 8 bit array after a cine-to-video conversion. Automatic edge tracking is performed using a combination of derivative and threshold methods. Vessel borders from two orthogonal views of the arterial segment are used to create a three-dimensional reconstruction of the stenosis, which serves as a basis for calculation of absolute and relative geometric dimensions, stenotic resistance and trans-stenotic pressure gradient for various given flow rates. A preliminary performance evaluation of this method was made by analysis of x-ray phantoms representing stenoses of known dimensions, which were filmed under quasi-clinical conditions. The results are discussed with respect to their accuracy and reproducibility.

摘要

本文介绍了一种对心血管造影术中冠状动脉阻塞进行计算机辅助分析的方法,该方法包括对冠状动脉狭窄严重程度的几何和血流动力学评估。在将电影血管造影转换为视频后,单帧图像被数字化为一个512×512×8位的数组。使用导数和阈值方法相结合的方式进行自动边缘跟踪。动脉段两个正交视图的血管边界用于创建狭窄的三维重建,这为计算各种给定流速下的绝对和相对几何尺寸、狭窄阻力和跨狭窄压力梯度奠定了基础。通过分析在准临床条件下拍摄的代表已知尺寸狭窄的X射线模型,对该方法进行了初步性能评估。讨论了结果的准确性和可重复性。

相似文献

1
Computer assessment of hemodynamic severity of coronary artery stenosis from angiograms.基于血管造影的冠状动脉狭窄血流动力学严重程度的计算机评估
Comput Methods Programs Biomed. 1985 Nov;21(2):143-52. doi: 10.1016/0169-2607(85)90075-6.
2
Detection and quantitation of coronary artery stenoses from digital subtraction angiograms compared with 35-millimeter film cineangiograms.与35毫米电影血管造影相比,数字减影血管造影对冠状动脉狭窄的检测与定量分析。
Am J Cardiol. 1984 Sep 1;54(6):489-96. doi: 10.1016/0002-9149(84)90236-4.
3
An objective computer system for the quantification of artery stenoses.一种用于量化动脉狭窄的客观计算机系统。
Int J Card Imaging. 1990;5(2-3):85-92. doi: 10.1007/BF01833977.
4
Automatic detection method of stenotic lesions in coronary cineangiograms.冠状动脉造影电影中狭窄病变的自动检测方法
Int J Card Imaging. 1989;5(1):17-23. doi: 10.1007/BF01745228.
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[Accuracy of detecting stenotic changes on coronary cineangiograms using computer image processing].[利用计算机图像处理检测冠状动脉造影片上狭窄变化的准确性]
Nihon Igaku Hoshasen Gakkai Zasshi. 1990 May 25;50(5):533-8.
6
Intracoronary blood flow velocity and transstenotic pressure gradient using sensor-tip pressure and Doppler guidewires: a new technology for the assessment of stenosis severity in the catheterization laboratory.使用传感器尖端压力和多普勒导丝测量冠状动脉内血流速度和跨狭窄压力梯度:导管实验室中评估狭窄严重程度的一项新技术。
Cathet Cardiovasc Diagn. 1993 Apr;28(4):311-9. doi: 10.1002/ccd.1810280408.
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Quantitative coronary cineangiogram analysis: a technical assessment.冠状动脉造影定量分析:技术评估
Radiol Technol. 1990 Jul-Aug;61(6):467-71.
8
Digital geometric measurements in comparison to cinefilm analysis of coronary artery dimensions.与冠状动脉尺寸的电影胶片分析相比的数字几何测量。
Cathet Cardiovasc Diagn. 1993 Apr;28(4):283-90. doi: 10.1002/ccd.1810280404.
9
[Quantitative analysis of hemodynamic disorders in coronary occlusion based on the roentgeno-cinematographic data].基于X线电影摄影数据对冠状动脉闭塞时血流动力学紊乱的定量分析
Grud Serdechnososudistaia Khir. 1991 Jun(6):28-30.
10
Does visual interpretation of the coronary arteriogram predict the physiologic importance of a coronary stenosis?冠状动脉造影的视觉解读能否预测冠状动脉狭窄的生理重要性?
N Engl J Med. 1984 Mar 29;310(13):819-24. doi: 10.1056/NEJM198403293101304.

引用本文的文献

1
Model prediction of subendocardial perfusion of the coronary circulation in the presence of an epicardial coronary artery stenosis.存在心外膜冠状动脉狭窄时冠状动脉循环心内膜下灌注的模型预测
Med Biol Eng Comput. 2008 May;46(5):421-32. doi: 10.1007/s11517-008-0314-2.
2
Algorithm effects on computerized vessel analysis from digitized cine film and a new method of generating the centerline of a vessel.算法对数字化电影胶片计算机化血管分析的影响及一种生成血管中心线的新方法。
Int J Card Imaging. 1994 Mar;10(1):53-60. doi: 10.1007/BF01151581.
3
A new method for automatic identification of coronary arteries in standard biplane angiograms.
Int J Card Imaging. 1994 Dec;10(4):253-61. doi: 10.1007/BF01137716.