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基于三维形态学的冠脉血管自动提取研究

发表时间:2016-05-31  浏览量:1704  下载量:790
全部作者: 欧阳自鹏,房斌,王翊,李颖
作者单位: 重庆大学计算机学院;第三军医大学基础医学部
摘 要: 目的:快速、有效地将冠状动脉血管从CT 图像中自动提取以及冠脉开口处的自动识别。方法:结合直方图阈值、三维腐蚀膨胀和区域增长等形态学图像处理技术,数据分析并根据心脏主动脉圆柱形态及窦口与其中心线的距离关系,对冠状窦口进行自动识别,实现冠脉血管的提取和三维重建。结果:自动提取的冠脉血管轮廓清晰,与原图吻合度高,且与手工分割结果有较好的一致性。结论:实现了冠状动脉血管较为精确的自动提取,对冠状窦口有较高的识别率。
关 键 词: 计算机应用;冠脉提取;三维形态学;医学图像分割;冠状窦口
Title: Study on automatic extraction based on three-dimensional morphology for coronary arteries
Author: OUYANG Zipeng, FANG Bin, WANG Yi, LI Ying
Organization: College of Computer Science, Chongqing University; College of Basic Medical Sciences, Third Military Medical University
Abstract: Objective: To automatically identify the orifice of coronary sinus and to extract coronary vessels from CT images fast and effectively. Methods: Combined histogram thresholding, three-dimensional erosion & dilation and other image processing technology, we completed automatic identification of the coronary sinus with data analysis and prior knowledge of the medical science. Finally, we extracted coronary artery and did three-dimensional reconstruction. Results: The edges of the automatically segmented coronary artery in all images were distinct and almost matched the original ones. The results also had a good consistency with manual segmentation results. Conclusion: This method can achieve a more accurate automatic extraction of coronary artery and have a high recognition rate of the coronary sinus.
Key words: computer applications; coronary artery extraction; three-dimensional morphology; medical image segmentation; coronary sinus
发表期数: 2016年5月第10期
引用格式: 欧阳自鹏,房斌,王翊,等. 基于三维形态学的冠脉血管自动提取研究[J]. 中国科技论文在线精品论文,2016,9(10):997-1002.
 
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