Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China.
Comput Med Imaging Graph. 2010 Jul;34(5):333-45. doi: 10.1016/j.compmedimag.2009.12.004. Epub 2010 Jan 6.
X-ray coronary angiography (CAG) is one of widely used imaging modalities for diagnosis and interventional treatment of cardiovascular diseases. Dynamic CAG sequences acquired from several viewpoints record coronary arterial morphological information as well as dynamic performances. The aim of this work is to propose a semi-automatic method for sequentially reconstructing coronary arterial skeletons from a pair of CAG sequences covering one or several cardiac cycles acquired from different views based on snake model. The snake curve deforms directly in 3D through minimizing a predefined energy function and ultimately stops at the global optimum with the minimal energy, which is the desired 3D vessel skeleton. The energy function combines intrinsic properties of the curve and acquired image data with a priori knowledge of coronary arterial morphology and dynamics. Consequently, 2D extraction, 3D sequential reconstruction and tracking of coronary arterial skeletons are synchronously implemented. The main advantage of this method is that matching between a pair of angiographic projections in point-by-point manner is avoided and the reproducibility and accuracy are improved. Results are given for clinical image data of patients in order to validate the proposed method.
X 射线冠状动脉造影（CAG）是诊断和心血管疾病介入治疗中广泛使用的成像方式之一。从多个角度获取的动态 CAG 序列记录了冠状动脉的形态学信息和动态性能。本工作旨在提出一种基于蛇模型的半自动方法，用于从不同视角获取的一对覆盖一个或多个心动周期的 CAG 序列中顺序重建冠状动脉骨架。蛇曲线通过最小化预定义的能量函数直接在 3D 中变形，最终在具有最小能量的全局最优处停止，这是所需的 3D 血管骨架。能量函数结合了曲线的内在特性和所获取的图像数据，以及冠状动脉形态和动力学的先验知识。因此，同步实现了 2D 提取、3D 顺序重建和冠状动脉骨架的跟踪。该方法的主要优点是避免了一对血管造影投影的逐点匹配，提高了可重复性和准确性。为了验证所提出的方法，给出了临床患者图像数据的结果。
