Analysis of CT Images of Liver for Surgical Planning

A. H. Foruzan, Yenwei Chen, R. Zoroofi, M. Kaibori
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引用次数: 12

Abstract

We developed a Computer Assisted Surgery system which prepared a virtual environment for a physician to interact with the liver and decide on the therapy planning. It was composed of three modules: liver segmentation, vessel extraction, and simulator. We proposed a semi-automatic method to segment the liver. Hepatic veins, portal veins, and he- patic arteries were extracted from multi-phase CT datasets. The simulator visualized the segmented objects and provided for a physician a virtual scalpel to cut the liver. Initially, a transparent view of the liver was shown to the physician that revealed the location of the vascular structures. During the surgery, a toggling option made it possible to switch between a transparent and an opaque view. The width, height, and depth of the cut could be changed by user interaction. The proposed system is a framework which can later be extended to a complete system for analysis of hepatic diseases and therapy planning.
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肝脏CT图像对手术计划的分析
我们开发了一个计算机辅助手术系统,该系统为医生与肝脏互动并决定治疗计划提供了一个虚拟环境。它由三个模块组成:肝脏分割、血管提取和模拟器。我们提出了一种半自动分割肝脏的方法。从多期CT数据集中提取肝静脉、门静脉和肝动脉。该模拟器将分割的物体可视化,并为医生提供虚拟手术刀来切割肝脏。最初,肝脏的透明视图显示血管结构的位置给医生。在手术过程中,切换选项可以在透明视图和不透明视图之间切换。切割的宽度、高度和深度可以通过用户交互来改变。提出的系统是一个框架,以后可以扩展到一个完整的系统,用于肝脏疾病的分析和治疗计划。
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