A deformable digital brain atlas system according to Talairach and Tournoux
A deformable digital brain atlas system according to Talairach and Tournoux
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DOI：
10.1016/j.media.2003.06.001
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发表时间：
2004-03-01
影响因子：
10.9
通讯作者：
Wirtz, CR
中科院分区：
文献类型：
--
作者：
Ganser, KA;Dickhaus, H;Wirtz, CR
大脑地图集是宝贵的工具，可以在干预计划期间协助神经外科医生。由于印刷的地图集有几个缺点-其中包括难以将信息映射到患者的个体解剖结构上-我们已经开发了一个数字版本的Talairach和Tournoux的成熟的立体定位脑图谱。我们的图谱系统主要致力于辅助神经外科规划，其优点是：（i）Talairach图谱中包含的大多数脑结构的三维（3D）表示;（ii）非刚性匹配能力，其在几分钟内将标准图谱解剖结构扭曲为单个脑磁共振成像（MRI）数据集，并且能够考虑肿瘤引起的变形;（iii）神经解剖学知识的几个来源的整合;（iv）导航系统的接口，允许术中使用图谱信息。在本文中，我们概述了我们已经开发的算法，以实现三维表面模型的大脑结构。此外，我们描述的非刚性匹配方法，它包括两个任务：首先，点之间的对应关系的图集和病人建立在一个自动的方式，其次，这些位移矢量插值使用径向基函数的方法，形成一个连续的变换函数。为了生成适当的目标结构，这些任务的第一个，我们实现了一个快速分割工具，它能够分割皮层和心室在不到5分钟的评估表明，我们的非刚性的方法比传统的分段线性匹配更精确。尽管对于深灰色核周围的区域还应进一步改进。总之，我们开发了一个Win32程序，它允许方便和快速地将标准化解剖应用于可能含有肿瘤的个体大脑。(C)2003 Elsevier B. V.保留所有权利。
Brain atlases are valuable tools which assist neurosurgeons during the planning of an intervention. Since a printed atlas book has several disadvantages - among them the difficulty to map the information onto a patient's individual anatomy - we have developed a digital version of the well-established stereotaxic brain atlas of Talairach and Tournoux. Our atlas system is mainly dedicated to assist neurosurgical planning, and its benefits are: (i) a three-dimensional (3D) representation of most brain structures contained in the Talairach atlas; (ii) a nonrigid matching capability which warps the standard atlas anatomy to an individual brain magnetic resonance imaging (MRI) dataset in a few minutes and which is able to take deformations due to tumors into account; (iii) the integration of several sources of neuroanatomical knowledge; (iv) an interface to a navigation system which allows utilization of atlas information intraoperatively. In this paper we outline the algorithm we have developed to achieve 3D surface models of the brain structures. Moreover, we describe the nonrigid matching method which consists of two tasks: firstly, point correspondences between the atlas and the patient are established in an automatic fashion, and secondly these displacement vectors are interpolated using a radial basis function approach to form a continuous transformation function. To generate appropriate target structures for the first of these tasks, we implemented a quick segmentation tool which is capable to segment the cortex and ventricles in less than 5 min. An evaluation shows that our nonrigid approach is more precise than the conventional piecewise linear matching.. though it should be further improved for the region around the deep grey nuclei. Summarizing, we developed a Win32 program which permits the convenient and fast application of standardized anatomy to individual brains which potentially contain tumors. (C) 2003 Elsevier B.V. All rights reserved.