心脏CT图像分割方法  

Method for Heart CT Image Segmentation

作　　者：付增良[1] 陈晓军[1] 叶铭[1] 李峰[1] 王成焘[1] 

机构地区：[1]上海交通大学生命质量与机械工程研究所,上海200030

出　　处：《计算机工程》2009年第12期189-191,共3页Computer Engineering

摘　　要：借助手术导航技术的微创消融将逐渐成为外科治疗房颤的主流方法。快速、准确地分割心室、心房是微创消融的关键技术之一。针对心脏CT图像的具体特征提出一种分割技术,将基于像素的传统方法和基于水平集的活动轮廓模型相结合,完成图像预分割。分割结果直接作为变分水平集的初始轮廓,经若干次迭代后,得到心室、心房的光滑轮廓。Minimally invasive ablation using surgical navigation technology gradually becomes the main-stream method in atrial fibrillation surgery. Extracting ventricle and atria out fastly and accurately is key technology in minimally invasive ablation. According to heart CT image＇s characteristics, a segmentation method, which combines traditional pixel-based method with level-set-based active contour model is proposed to do pre-segmentation. The segmentation result is directly used as the initial contour of the variational level set. The curve smoothly matches the edge of object after several iterations.

关 键 词：微创消融 图像分割 水平集 初始轮廓 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]