Vidal Franck P, John Nigel W, Guillemot Romain M
School of Computer Science, University of Wales, Bangor, UK.
Stud Health Technol Inform. 2007;125:479-81.
Interventional Radiology (IR) procedures are minimally invasive, targeted treatments performed using imaging for guidance. Needle puncture using ultrasound, x-ray, or computed tomography (CT) images is a core task in the radiology curriculum, and we are currently developing a training simulator for this. One requirement is to include support for physically-based simulation of x-ray images from CT data sets. In this paper, we demonstrate how to exploit the capability of today's graphics cards to efficiently achieve this on the Graphics Processing Unit (GPU) and compare performance with an efficient software only implementation using the Central Processing Unit (CPU).
介入放射学（IR）程序是使用成像进行引导的微创靶向治疗。使用超声、X射线或计算机断层扫描（CT）图像进行穿刺是放射学课程中的一项核心任务，我们目前正在为此开发一种训练模拟器。一个要求是包括对基于物理的CT数据集X射线图像模拟的支持。在本文中，我们演示了如何利用当今图形卡的功能在图形处理单元（GPU）上高效地实现这一点，并与仅使用中央处理器（CPU）的高效软件实现进行性能比较。
