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基于改进C-V模型的脑组织提取算法
引用本文:贾迪,杨金柱,张一飞,于戈.基于改进C-V模型的脑组织提取算法[J].东北大学学报(自然科学版),2011,32(4):489-492.
作者姓名:贾迪  杨金柱  张一飞  于戈
作者单位:贾迪,JIA Di(东北大学,医学影像计算教育部重点实验室,辽宁,沈阳,110179;东北大学,信息科学与工程学院,辽宁,沈阳,110819);杨金柱,YANG Jin-zhu(东北大学,医学影像计算教育部重点实验室,辽宁,沈阳,110179);张一飞,于戈,ZHANG Yi-fei,YU Ge(东北大学,信息科学与工程学院,辽宁,沈阳,110819)
摘    要:通过对水平集算法C-V模型进行三方面改进,提出一种基于改进C-V模型的脑组织提取算法.首先,通过改进经典的距离函数,在保证准确度的同时,可以在很大程度上加快距离函数的收敛,提高分割速度.其次,改进了收敛结果的唯一性,使边缘停止在欲提取的目标类灰度上,用于去除脑脊液,使脑灰质、白质的提取更加准确.最后,提出了迭代收敛的动...

关 键 词:脑组织分割  水平集  C-V模型  区域增长  活动轮廓模型

A Brain Tissue Extraction Algorithm Based on an Improved C-V Model
JIA Di,YANG Jin-zhu,ZHANG Yi-fei,YU Ge.A Brain Tissue Extraction Algorithm Based on an Improved C-V Model[J].Journal of Northeastern University(Natural Science),2011,32(4):489-492.
Authors:JIA Di  YANG Jin-zhu  ZHANG Yi-fei  YU Ge
Institution:JIA Di1,2,YANG Jin-zhu1,ZHANG Yi-fei2,YU Ge2(1.Key Laboratory of Medical Image Computing of Ministry of Education,Northeastern University,Shenyang 110179,China,2.School of Information Science & Engineering,Shenyang 110819,China.)
Abstract:Through improving C-V model in three aspects,a new rapid and accurate method for brain tissue extraction is presented.First,segmentation speed was enhanced through improving the classical distance matrix,with the distance function convergence improved compromising accuracy.Secondly,the improved method changed the uniqueness of classical results and made the evolving lines stop at the same level gray,so spinal fluid could be wiped off,and white/gray matter was extracted more accurately.Finally,a dynamic cond...
Keywords:brain tissue segmentation  level set  C-V model  regions merging  active contour model  
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