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Segmentation and visualization of the heart region for 3-D simulation of coronary intervention procedures

机译:心脏区域的分割和可视化,用于3D模拟冠状动脉介入手术

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摘要

In fighting the coronary heart diseases, percutaneous coronary intervention is proved to be a powerful and reliable clinical procedure in the modern catheterization labs all over the world. Due to its minimally invasive characteristics, the procedure must be performed in the image-guided way, which makes this important skill very difficult to learn. To make the learning more accessible, a computer-aided surgical simulator is planned to be implemented in our lab. For now, the prototyping model is completed and the further validation is being conducted. In implementing the virtual anatomic environment, we aim to provide the trainee an intuitive visual effect so that the models of the organs bear resemblance to their counterpart of the human's. Besides the blood vessels per se, the surrounding organs seen in the real surgery also need to be visualized during the simulation. The heart is undoubtedly the most critical one among them. The segmentation of the heart is a challenging task because of the noisy and indistinct boundaries of the heart in the images due to the natural heart beating during the image acquisition. In this paper, an approach based on the active contours method is developed to fulfill this job. The experimental results demonstrate the effectiveness of our approach.
机译:在与冠心病的斗争中,经皮冠状动脉介入治疗在世界各地的现代化导管实验室中被证明是一种强大而可靠的临床程序。由于其微创特性,该程序必须以图像引导的方式执行,这使得该重要技能非常难以学习。为了使学习更容易进行,我们计划在实验室中安装一个计算机辅助的手术模拟器。目前,原型模型已经完成,并且正在进行进一步的验证。在实现虚拟解剖环境时,我们旨在为受训者提供直观的视觉效果,以使器官模型与人类模型相似。除了血管本身,在仿真过程中还需要可视化在实际手术中看到的周围器官。毫无疑问,心脏是其中最关键的一颗。心脏的分割是一项具有挑战性的任务,因为在图像采集过程中,由于自然的心脏跳动,使得图像中心脏的噪声边界模糊且不清楚。本文提出了一种基于主动轮廓法的方法来完成这项工作。实验结果证明了我们方法的有效性。

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