Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
复制标题
心脏的统计图谱和计算模型。
DOI：
10.1007/978-3-030-12029-0_2
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Banerjee A
中科院分区：
文献类型：
--
作者：
Banerjee A
3D中心线的自动估计对于将血管造影投影转换为准确的3D重建是必要的。尽管存在用于3D中心线重建的若干方法，但是当通过单平面旋转X射线系统获取图像时，其中大多数方法对冠状动脉中的运动敏感。所提出的方法的目的是纠正运动相关的变形冠状动脉血管从2D投影，并随后实现最佳的3D中心线重建。通过从所有投影平面估计最佳刚性变换来去除动脉中的刚性运动。剩余的非刚性运动在端孔是由径向基函数为基础的扭曲的2D中心线建模。然后通过最小二乘匹配从所有投影平面生成点对应。最终的三维中心线是通过三维非均匀有理基样条拟合生成的点对应。对20个冠状动脉血管树（12个右冠状动脉：RCA和8个左冠状动脉：LCA）的实验分析表明，刚性变换能够将冠状动脉血管运动平均减少到0.72 mm，而最终的3D中心线重建在血管造影平面上进行反投影时，平均均方根误差为0.31 mm。
Automated estimation of 3D centerlines is necessary to transform angiographic projections into accurate 3D reconstructions. Although several methods exist for 3D centerline reconstruction, most of them are sensitive to the motion in coronary arteries when images are acquired by a single-plane rotational X-ray system. The objective of the proposed method is to rectify the motion-related deformations in coronary vessels from 2D projections and subsequently achieve an optimal 3D centerline reconstruction. Rigid motion in arteries is removed by estimating the optimal rigid transformation from all projection planes. The remaining non-rigid motion at end-diastole is modelled by a radial basis function based warping of 2D centerlines. Point correspondences are then generated from all projection planes by least squares matching. The final 3D centerlines are obtained by 3D non-uniform rational basis splines fitting over generated point correspondences. Experimental analysis over 20 coronary vessel trees (12 right coronary artery: RCA and 8 left coronary artery: LCA) demonstrates that the rigid transformation is able to reduce the coronary vessel movements to 0.72 mm average, while the final 3D centerline reconstruction achieves an average rms error of 0.31 mm, when backprojected on angiographic planes.