Kiselev Valerij G, Hahn Klaus R, Auer Dorothee P
Institute of Medicine, Research Center Jülich, GmBH, D-52425 Jülich, Germany.
Neuroimage. 2003 Nov;20(3):1765-74. doi: 10.1016/s1053-8119(03)00380-x.
The notion of fractal has been largely used to describe geometrical properties of complex objects in biology and medicine. In the present study the question is addressed whether the human cerebral cortex is self-similar in a statistical sense, which is commonly referred to as being a fractal. A new calculational method is presented, which is volumetric and based on the fast Fourier transform (FFT) of segmented three-dimensional high-resolution magnetic resonance images. The analysis covers a wide range of spatial scales from the size of the whole cortex to the ultimate pixel size. Results obtained in six subjects confirm the fractal nature of the human cerebral cortex down to a spatial scale of 3 mm. The obtained fractal dimension is D = 2.80 +/- 0.05, which is in reasonable agreement with previously reported results. Deployment of FFT enables a simple interpretation of the results and yields a high performance, which is necessary to analyze the entire cortex. Thus the FFT-based analysis of segmented MR images offers a comprehensive approach to study neurodevelopmental and neurodegenerative changes in the fractal geometry of the cerebral cortex.
分形的概念在很大程度上已被用于描述生物学和医学中复杂物体的几何特性。在本研究中,探讨了人类大脑皮层在统计意义上是否自相似这一问题,这种自相似通常被称为具有分形特征。提出了一种新的计算方法,该方法基于体素,且基于分割后的三维高分辨率磁共振图像的快速傅里叶变换(FFT)。分析涵盖了从整个皮层大小到最终像素大小的广泛空间尺度。在六名受试者中获得的结果证实了人类大脑皮层在低至3毫米的空间尺度下具有分形性质。所获得的分形维数为D = 2.80 +/- 0.05,这与先前报道的结果合理一致。FFT的应用使得结果易于解释且具有高性能,这对于分析整个皮层是必要的。因此,基于FFT的分割MR图像分析为研究大脑皮层分形几何中的神经发育和神经退行性变化提供了一种全面的方法。