King Richard D, George Anuh T, Jeon Tina, Hynan Linda S, Youn Teddy S, Kennedy David N, Dickerson Bradford
Department of Neurology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9129, USA. Center for BrainHealth, University of Texas at Dallas, Dallas, TX, USA.
Brain Imaging Behav. 2009 Jun;3(2):154-166. doi: 10.1007/s11682-008-9057-9.
The purpose of this project is to apply a modified fractal analysis technique to high-resolution T1 weighted magnetic resonance images in order to quantify the alterations in the shape of the cerebral cortex that occur in patients with Alzheimer's disease. Images were selected from the Alzheimer's Disease Neuroimaging Initiative database (Control N=15, Mild-Moderate AD N=15). The images were segmented using a semi-automated analysis program. Four coronal and three axial profiles of the cerebral cortical ribbon were created. The fractal dimensions (D(f)) of the cortical ribbons were then computed using a box-counting algorithm. The mean D(f) of the cortical ribbons from AD patients were lower than age-matched controls on six of seven profiles. The fractal measure has regional variability which reflects local differences in brain structure. Fractal dimension is complementary to volumetric measures and may assist in identifying disease state or disease progression.
本项目的目的是将一种改进的分形分析技术应用于高分辨率T1加权磁共振图像,以量化阿尔茨海默病患者大脑皮质形状的改变。图像选自阿尔茨海默病神经影像倡议数据库(对照组N = 15,轻度至中度阿尔茨海默病组N = 15)。使用半自动分析程序对图像进行分割。创建了大脑皮质带的四个冠状面和三个轴面轮廓。然后使用盒计数算法计算皮质带的分形维数(D(f))。在七个轮廓中的六个上,阿尔茨海默病患者皮质带的平均D(f)低于年龄匹配的对照组。分形测量具有区域变异性,反映了脑结构的局部差异。分形维数是体积测量的补充,可能有助于识别疾病状态或疾病进展。