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

研究成果: 雜誌貢獻期刊論文同行評審

6 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
頁(從 - 到)6123-6127
頁數5
期刊Expert Systems with Applications
37
發行號8
DOIs
出版狀態已出版 - 8月 2010

指紋

深入研究「Using 3D FFT fractal dimension estimator to analyze the complexity of fetal cortical surface from MR images」主題。共同形成了獨特的指紋。

引用此