东南大学学报（自然科学版）Issue(1)：30-34,5.DOI:10.3969/j.issn.1001-0505.2016.01.006
基于模糊C均值法的CTA图像冠状动脉狭窄量化
Stenosis quantification of coronary artery CTA images based on fuzzy C-means algorithm
摘要
Abstract
As for coronary artery stenosis caused by soft plaques in coronary artery angiography ima-ges, an accurate stenosis quantification method based on the fuzzy C-means algorithm is proposed. First, the segment of the coronary artery with starting and ending positions defined by experts is cropped and thresholded on the three-dimensional data along the centerline.Secondly, the fuzzy C-means algorithm is applied to separate the region of vessel lumen from other tissues.The detected val-ue of the vessel lumen area in each slice is computed and the reference value is fitted by the detection area between the starting and ending positions.Then, the location and the ratio of the most stenosis are determined by comparing the detected value with the reference value of the vessel area.Finally, the proposed method is tested on clinical computed tomography angiography ( CTA) datasets of thir-teen patients and the detection results are compared with the stenosis ratios defined by experts.The ex-perimental results indicate that the proposed method can accurately quantify the stenosis of the coronary artery segment with given starting and ending positions in CTA.The absolute average difference and the root mean squared difference of the stenosis ratios are 2.21%and 3.11%, respectively.关键词
模糊C均值/狭窄量化/软斑块/血管分割/CTAKey words
fuzzy C-means/stenosis quantification/soft plaque/vascular segmentation/computed tomography angiography( CTA)分类
信息技术与安全科学引用本文复制引用
孙巧榆,杨冠羽,舒华忠..基于模糊C均值法的CTA图像冠状动脉狭窄量化[J].东南大学学报（自然科学版）,2016,(1):30-34,5.基金项目
国家自然科学基金资助项目（61271312，81101104）、江苏省自然科学基金资助项目（ BK2012743）、江苏省“六大人才高峰”资助项目（2012 DZXX-031）、江苏省“333高层次人才培养工程”资助项目（BRA2015288）、江苏省博士后科学研究基金资助项目（1302018C）． （）
