计算机应用研究2016，Vol.33Issue(8)：2539-2542,4.DOI:10.3969/j.issn.1001-3695.2016.08.066
基于相邻体素选择的脑白质纤维交叉分叉问题解决方法
Method of basing on neighboring voxel selection for white matter fiber crossing and bifurcating
摘要
Abstract
In order to solve the problem of white matter fiber crossing and bifurcating,inspired by the traditional algorithm, this paper proposed the solving method that based on a neighboring voxel selection for the decomposition of disk tensor.First-ly,the algorithm chose the right point to fiber track and established data set to obtain fitting function.Secondly,when the problem of white matter crossing and fiber bifurcating appeared,it would draw the checkerboard chart for neighboring voxels of the point,calculated the angle between the point and other neighboring voxels.In combination with the angle,it used fitting function according to the data set of fitting function to estimate global fiber direction,thus finished the decomposition of the disk tensor.The method not only used the local information reasonably but also considered the global information effecting. And it can finish the fiber tracking more accurately and completely.Compared with the traditional algorithm,the method is a-ble to solve white matter crossing and fiber bifurcating more effectively,so the fiber tracking is closer to the truth.关键词
脑白质/纤维交叉分叉/相邻体素/曲线拟合函数Key words
white matter/fiber crossing and bifurcating/neighboring voxel/fitting function分类
信息技术与安全科学引用本文复制引用
杨志飞,吕晓琪,张明,任国印..基于相邻体素选择的脑白质纤维交叉分叉问题解决方法[J].计算机应用研究,2016,33(8):2539-2542,4.基金项目
国家自然科学基金资助项目（61179019，61261028）；内蒙古科技大学创新基金资助项目（2014QDL045）；内蒙古自治区研究生教育创新计划资助项目 （）
