设为首页 |  加入收藏
首页首页 期刊简介 消息通知 编委会 电子期刊 投稿须知 广告合作 联系我们
颅内动脉瘤三维几何形态信息数值计算分析方法_________

An approach to calculation and analysis of morphological parameters for intracranial aneurysm

作者:               刘迪  龙云玲  李海云          
单位:           首都医科大学生物医学工程学院(北京100069)    
关键词:           颅内动脉瘤;几何形态参数;移动立方体;移动四面体      
分类号:
出版年·卷·期(页码):2013·32·2(149-153)
摘要:

目的 探索两种主要的三维重建算法对颅内动脉瘤(intracranial aneurysm,IA)几何形态特征参数计算的影响。方法 分别建立了基于移动立方体(marching cubes, MC)和移动四面体(marching tetrahedral, MT)三维重建算法的颅内动脉瘤几何形态特征参数计算方法,并分别对5种主要的几何形态参数:动脉瘤的尺寸(size),纵横比(aspect ratio, AR),非球形指数(nonsphericity index, NSI),尺寸比(size ratio, SR)和动脉瘤倾斜角度(aneurysm inclination angle, AIA)进行分析。结果 对6例动脉瘤几何形态特征参数的计算结果表明MC和MT两种重建算法在重建时间上差异显著且对动脉瘤几何形态参数计算结果有差异,其中对AR、NSI、SR和AIA的影响较大,而对动脉瘤尺寸影响较小。结论 考虑到两种重建算法在重建时间上的差异显著,因此在计算尺寸等几何形态参数时可使用速度较快的MC算法,而在需要计算AR、NSI、SR和AIA等参数且要求一定精度时可优先使用精确度较高的MT算法。

Objective The aim of this study is to explore the influence of two major three-dimensional reconstruction algorithms on the calculation of morphology parameters of intracranial aneurysms(IA). Methods For 6 patients with IA, marching cubes (MC) and marching tetrahedral (MT) were used to reconstruct the IA three-dimensional geometric models respectively. Five major morphological parameters, including size, aspect ratio(AR), nonsphericity index(NSI), size ratio(SR) and aneurysm inclination angle(AIA), were calculated using the two models. Then the differences of morphological parameters in these two models were demonstrated by comparison. Results The calculating results of AR, NSI, SR, AIA and the time consumptions for reconstruction are significantly different and those of size are slightly different between the two reconstruction models. Conclusions When calculating AR, NSI, SR and AIA in high-precision, MT should be used to reconstruct the IA, although MT is time-consuming. While the size is needed only, MC is preferred since its fast running and relatively good precision.

参考文献:

服务与反馈:
文章下载】【加入收藏
提示:您还未登录,请登录!点此登录
 
友情链接  
地址:北京安定门外安贞医院内北京生物医学工程编辑部
电话:010-64456508  传真:010-64456661
电子邮箱:llbl910219@126.com