IVUS validation of patient coronary artery lumen area obtained from CT images.

IVUS validation of patient coronary artery lumen area obtained from CT images.
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对从 CT 图像获得的患者冠状动脉管腔面积进行 IVUS 验证。

DOI:
10.1371/journal.pone.0086949
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Kassab GS
Kassab GS
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Luo T;Wischgoll T;Kwon Koo B;Huo Y;Kassab GS

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冠状动脉形态学(直径、长度、分叉角度)的精确计算机断层扫描(CT)重建对于构建患者特定模型以辅助诊断和治疗非常重要。本研究的目的是验证基于血管内超声(IVUS)的CT图像获得的患者冠状动脉管腔面积的准确性。对5例患者的11条血管进行了血管内超声CT扫描,重建了血管的管腔横截面积(CSA)、直径和长度。以亚像素精度分析来自CT图像的体积数据,以获得准确的血管中心线和CSA。提出了一种新的中心线提取方法,利用传统的细化算法得到离散值的初始骨架估计值。直接确定CSA,无需任何圆形假设,以提供狭窄的准确重建。CSA和直径的均方根误差(RMSE)分别为16.2%和9.5%。图像分割和CSA提取算法重建的冠状动脉被证明是准确的血管腔面积的确定。该方法为诊断和治疗冠状动脉疾病的患者特定模型提供了基本的形态测量数据。
Accurate computed tomography (CT)-based reconstruction of coronary morphometry (diameters, length, bifurcation angles) is important for construction of patient-specific models to aid diagnosis and therapy. The objective of this study is to validate the accuracy of patient coronary artery lumen area obtained from CT images based on intravascular ultrasound (IVUS). Morphometric data of 5 patient CT scans with 11 arteries from IVUS were reconstructed including the lumen cross sectional area (CSA), diameter and length. The volumetric data from CT images were analyzed at sub-pixel accuracy to obtain accurate vessel center lines and CSA. A new center line extraction approach was used where an initial estimated skeleton in discrete value was obtained using a traditional thinning algorithm. The CSA was determined directly without any circular shape assumptions to provide accurate reconstruction of stenosis. The root-mean-square error (RMSE) for CSA and diameter were 16.2% and 9.5% respectively. The image segmentation and CSA extraction algorithm for reconstruction of coronary arteries proved to be accurate for determination of vessel lumen area. This approach provides fundamental morphometric data for patient-specific models to diagnose and treat coronary artery disease.
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