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

Yu Te Wu, Kuo Kai Shyu, Tzong Rong Chen, Hui Yun Chen, Hui Hsin Hu, Wan Yuo Guo

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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 22-36 weeks 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.

Original languageEnglish
Pages (from-to)6123-6127
Number of pages5
JournalExpert Systems with Applications
Volume37
Issue number8
DOIs
StatePublished - Aug 2010

Keywords

  • Fast Fourier transform
  • Fetal cortical surface
  • Fractal dimension

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