Thickness Profile Generation for the Corpus Callosum Using Laplace's Equation
Thickness Profile Generation for the Corpus Callosum Using Laplace's Equation
复制标题
DOI：
10.1002/hbm.21174
复制
发表时间：
2011-12-01
影响因子：
4.8
通讯作者：
Walterfang, Mark
中科院分区：
文献类型：
--
作者：
Adamson, Christopher L.;Wood, Amanda G.;Walterfang, Mark
胼胝体促进大脑两半球之间的交流。胼胝体的形态异常已被确定在许多精神和神经系统疾病。为了定量分析胼胝体的厚度分布，我们采用了一种自动厚度测量方法，该方法最初用于大脑皮层的磁共振（MR）图像（赫顿等人[2008]：神经影像学40：1701-10;琼斯等人[2002]：脑图谱11：12-32;施密特和博姆[2002]：神经影像学16：1103-9; Yezzi和Prince [2003]：IEEE Trans Med Imaging 22：1332-9），到胼胝体的MR图像。通过计算对胼胝体体素评估的拉普拉斯方程的解来导出厚度模型。从这个解决方案的流线形成非重叠，横截面轮廓的长度被建模为胼胝体厚度。除了半自动分割和终点选择程序外，该方法是完全自动化的，稳健的和可重现的。我们比较了拉普拉斯方法与以前发表的正交投影技术（Walterfang等人[2009 a]：Psych Res Neuroimaging 173：77-82; Walterfang等人[2008 a]：Br J Psychiatry 192：429-34; Walterfang等人[2008 b]：Schizophr Res 103：1-10），对296名受试者的队列进行研究，该队列由86名患有慢性精神分裂症（CSZ）的患者、110名患有首发精神病的个体、100名处于精神病超高风险的个体组成（UHR;其中27人后来发展为精神病，UHR-P，73人没有，UHR-NP）和55名对照受试者（CTL）。我们报告了CSZ与CTL、UHR与CTL、UHR-P与UHR-NP、UHR与CTL比较中区域胼胝体厚度统计学显著差异的相似模式。《脑地图》32：2131-2140，2011年。(C)2011 Wiley Periodicals，Inc.
The corpus callosum facilitates communication between the cerebral hemispheres. Morphological abnormalities of the corpus callosum have been identified in numerous psychiatric and neurological disorders. To quantitatively analyze the thickness profile of the corpus callosum, we adapted an automatic thickness measurement method, which was originally used on magnetic resonance (MR) images of the cerebral cortex (Hutton et al. [2008]: NeuroImage 40:1701-10; Jones et al. [2002]: Hum Brain Mapp 11:12-32; Schmitt and Bohme [2002]: NeuroImage 16:1103-9; Yezzi and Prince [2003]: IEEE Trans Med Imaging 22:1332-9), to MR images of the corpus callosum. The thickness model was derived by computing a solution to Laplace's equation evaluated on callosal voxels. The streamlines from this solution form non-overlapping, cross-sectional contours the lengths of which are modeled as the callosal thickness. Apart from the semi-automated segmentation and endpoint selection procedures, the method is fully automated, robust, and reproducible. We compared the Laplace method with the orthogonal projection technique previously published (Walterfang et al. [2009a]: Psych Res Neuroimaging 173:77-82; Walterfang et al. [2008a]: Br J Psychiatry 192:429-34; Walterfang et al. [2008b]: Schizophr Res 103:1-10) on a cohort of 296 subjects, composed of 86 patients with chronic schizophrenia (CSZ), 110 individuals with first-episode psychosis, 100 individuals at ultra-high risk for psychosis (UHR; 27 of whom later developed psychosis, UHR-P, and 73 who did not, UHR-NP), and 55 control subjects (CTL). We report similar patterns of statistically significant differences in regional callosal thickness with respect to the comparisons CSZ vs. CTL, UHR vs. CTL, UHR-P vs. UHR-NP, and UHR vs. CTL. Hum Brain Mapp 32:2131-2140, 2011. (C) 2011 Wiley Periodicals, Inc.