Lee Kyung Eun, Kwon Soon-Sung, Ji Yoon Cheol, Shin Eun-Seok, Choi Jin-Ho, Kim Sung Joon, Shim Eun Bo
Department of Mechanical and Biomedical Engineering, Kangwon National University, Kangwondaehak-gil, Chuncheon, Kangwon-do, 200-701, Republic of Korea.
Department of Cardiology, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Pflugers Arch. 2016 Aug;468(8):1449-58. doi: 10.1007/s00424-016-1831-8. Epub 2016 Jun 11.
Flow resistances exerted in the coronary arteries are the key parameters for the image-based computer simulation of coronary hemodynamics. The resistances depend on the anatomical characteristics of the coronary system. A simple and reliable estimation of the resistances is a compulsory procedure to compute the fractional flow reserve (FFR) of stenosed coronary arteries, an important clinical index of coronary artery disease. The cardiac muscle volume reconstructed from computed tomography (CT) images has been used to assess the resistance of the feeding coronary artery (muscle volume-based method). In this study, we estimate the flow resistances exerted in coronary arteries by using a novel method. Based on a physiological observation that longer coronary arteries have more daughter branches feeding a larger mass of cardiac muscle, the method measures the vessel lengths from coronary angiogram or CT images (vessel length-based method) and predicts the coronary flow resistances. The underlying equations are derived from the physiological relation among flow rate, resistance, and vessel length. To validate the present estimation method, we calculate the coronary flow division over coronary major arteries for 50 patients using the vessel length-based method as well as the muscle volume-based one. These results are compared with the direct measurements in a clinical study. Further proving the usefulness of the present method, we compute the coronary FFR from the images of optical coherence tomography.
冠状动脉中产生的血流阻力是基于图像的冠状动脉血流动力学计算机模拟的关键参数。这些阻力取决于冠状动脉系统的解剖特征。对这些阻力进行简单可靠的估计是计算狭窄冠状动脉血流储备分数(FFR)的必要步骤,FFR是冠状动脉疾病的一项重要临床指标。从计算机断层扫描(CT)图像重建的心肌体积已被用于评估供血冠状动脉的阻力(基于心肌体积的方法)。在本研究中,我们使用一种新方法来估计冠状动脉中产生的血流阻力。基于一项生理学观察,即较长的冠状动脉有更多的分支为更大质量的心肌供血,该方法从冠状动脉造影或CT图像测量血管长度(基于血管长度的方法)并预测冠状动脉血流阻力。基本方程源自流量、阻力和血管长度之间的生理关系。为验证当前的估计方法,我们使用基于血管长度的方法以及基于心肌体积的方法计算了50例患者冠状动脉主要分支的血流分配。将这些结果与一项临床研究中的直接测量结果进行比较。为进一步证明当前方法的有效性,我们从光学相干断层扫描图像计算冠状动脉FFR。