Short Communication: Using 3D FFT fractal dimension estimator to analyze the complexity of fetal cortical surface from MR images

Authors:
Yu-Te Wu;Kuo-Kai Shyu;Tzong-Rong Chen;Hui-Yun Chen;Hui-Hsin Hu;Wan-Yuo Guo
Affiliations:
Department of Biomedical Imaging and Radiological Science, National Yang-Ming University, Taipei, Taiwan, ROC and Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan, ROC and ...;Department of Electrical Engineering, National Central University, Chung-Li, Taiwan, ROC;Department of Electrical Engineering, National Central University, Chung-Li, Taiwan, ROC and Department of Electronic Engineering, Ching Yun University, Chung-Li, Taiwan, ROC;Department of Biomedical Imaging and Radiological Science, National Yang-Ming University, Taipei, Taiwan, ROC;Department of Biomedical Imaging and Radiological Science, National Yang-Ming University, Taipei, Taiwan, ROC;Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

This study aims to investigate the complexity of developing fetal cortical surface using a 3D fast Fourier transform (FFT) fractal dimension (FD) estimator. Thirty-five fetal MR images were chosen at 22-36weeks of gestational age (GA) including 30 normal brains and 5 testing brains. Observations of testing brains indicate that: cortical dysplasia (developmental delay) and twins have lower FD than that of normal fetal brains. Results of FD from normal brains show that are positively correlated to GA and evidently indicate cortical complexity increasing with developing weeks of GA, which are in good agreement with fetal brain development. It could be said that the 3D FFT FD estimator is a promising means for the quantification of complexity of the fetal cortical surface.