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计算机工程 ›› 2009, Vol. 35 ›› Issue (12): 189-191. doi: 10.3969/j.issn.1000-3428.2009.12.067

• 图形图像处理 • 上一篇    下一篇

心脏CT图像分割方法

付增良,陈晓军,叶 铭,李 峰,王成焘   

  1. (上海交通大学生命质量与机械工程研究所,上海 200030)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-06-20 发布日期:2009-06-20

Method for Heart CT Image Segmentation

FU Zeng-liang, CHEN Xiao-jun, YE Ming, LI Feng, WANG Cheng-tao   

  1. (Institute of Life Quality via Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-06-20 Published:2009-06-20

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。

关键词: 微创消融, 图像分割, 水平集, 初始轮廓

Abstract: 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.

Key words: minimally invasive ablation, image segmentation, level set, initial contour

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