基于相邻体素选择的脑白质纤维交叉分叉问题解决方法-计算机应用研究.PDF

优先出版 计 算 机 应 用 研 究 第33 卷 基于相邻体素选择的脑白质纤维交叉分叉问题解决方法* * 杨志飞，吕晓琪 ，张 明，任国印 ( 内蒙古科技大学 信息工程学院，内蒙古 包头 014010) 摘 要：为了解决脑白质纤维交叉分叉问题，在传统算法的启发下，提出一种基于相邻体素选择的盘状张量分解算法。 首先，选择合适的起点进行非分叉纤维的追踪，建立拟合函数数据集，得到拟合函数；其次，在纤维追踪出现交叉分叉 问题时，建立该交叉分叉点及周围区域体素所对应的棋盘图；然后，计算以交叉点为中心的相邻张量的夹角，结合夹角 的大小并利用得到的拟合函数进行纤维整体走行方向的估计，实现盘状张量的分解。算法既保证了局部信息的合理适用， 又考虑了整体信息的影响，能够更加精确完整地跟踪纤维路径，解决纤维交叉分叉问题。与传统方法相比，本算法可以 更有效解决纤维分叉及交叉处的跟踪问题，从而使得到的纤维路径更加真实。 关键词：脑白质；纤维交叉分叉；相邻体素；曲线拟合函数 中图分类号：TP391 Method of basing on neighboring voxel selection for white matter fiber crossing and bifurcating * Yang Zhifei, Lu Xiaoqi , Zhang Ming, Ren Guoyin (School of Information Engineering, Inner Mongolia University of Science Technology, Baotou, 014010, China) Abstract: In order to solve the problem of white matter fiber crossing and bifurcating. Inspired by the traditional algorithm. The solving method that based on a neighboring voxel selection for the decomposition of disk tensor is mentioned. Firstly. the algorithm choose the right point to fiber track and to establish data set then to obtain fitting function. Secondly. when the problem of white matter crossing and fiber bifurcating appears. we will draw the checkerboard chart for neighboring voxels of the point. Calculate of the angle between the point and other neighboring voxels. then be in combination with the angle and use fitting function according to the data set of fitting function to estimate global fiber direction. thus finish the deco