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.
出处
《计算机工程》
CAS
CSCD
北大核心
2009年第12期189-191,共3页
Computer Engineering
关键词
微创消融
图像分割
水平集
初始轮廓
minimally invasive ablation
image segmentation
level set
initial contour
