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从CT图像中提取猪冠状动脉树的形态测量学和分支角度

Extraction of morphometry and branching angles of porcine coronary arterial tree from CT images.

作者信息

Wischgoll Thomas, Choy Jenny S, Kassab Ghassan S

机构信息

Department of Computer Science and Engineering, Wright State University, Dayton, OH, USA.

出版信息

Am J Physiol Heart Circ Physiol. 2009 Nov;297(5):H1949-55. doi: 10.1152/ajpheart.00093.2009. Epub 2009 Sep 11.

Abstract

The morphometry (diameters, length, and angles) of coronary arteries is related to their function. A simple, easy, and accurate image-based method to seamlessly extract the morphometry for coronary arteries is of significant value for understanding the structure-function relation. Here, the morphometry of large (> or = 1 mm in diameter) coronary arteries was extracted from computed tomography (CT) images using a recently validated segmentation algorithm. The coronary arteries of seven pigs were filled with Microfil, and the cast hearts were imaged with CT. The centerlines of the extracted vessels, the vessel radii, and the vessel lengths were identified for over 700 vessel segments. The extraction algorithm was based on a topological analysis of a vector field generated by normal vectors of the extracted vessel wall. The diameters, lengths, and angles of the right coronary artery, left anterior descending coronary artery, and left circumflex artery of all vessels > or = 1 mm in diameter were tabulated for the respective orders. It was found that bifurcations at orders 9-11 are planar ( approximately 90%). The relations between volume and length and area and length were also examined and found to scale as power laws. Furthermore, the bifurcation angles follow the minimum energy hypothesis but with significant scatter. Some of the applications of the semiautomated extraction of morphometric data in applications to coronary physiology and pathophysiology are highlighted.

摘要

冠状动脉的形态测量(直径、长度和角度)与其功能相关。一种简单、便捷且准确的基于图像的方法,用于无缝提取冠状动脉的形态测量数据,对于理解结构 - 功能关系具有重要价值。在此,使用最近验证的分割算法从计算机断层扫描(CT)图像中提取大尺寸(直径≥1毫米)冠状动脉的形态测量数据。对七头猪的冠状动脉注入微丝,然后用CT对铸型心脏进行成像。针对700多个血管段确定了提取血管的中心线、血管半径和血管长度。提取算法基于对由提取血管壁的法向量生成的向量场的拓扑分析。将直径≥1毫米的所有血管的右冠状动脉、左前降支冠状动脉和左旋支冠状动脉的直径、长度和角度按各自的顺序制成表格。发现9 - 11级分支是平面的(约90%)。还研究了体积与长度以及面积与长度之间的关系,发现它们按幂律缩放。此外,分支角度遵循最小能量假设,但存在显著离散。文中强调了形态测量数据的半自动提取在冠状动脉生理学和病理生理学应用中的一些用途。

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