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Using 3D FFT fractal dimension estimator to analyze the complexity of fetal cortical surface from MR images
- Source :
- Expert Systems with Applications. 37:6123-6127
- Publication Year :
- 2010
- Publisher :
- Elsevier BV, 2010.
-
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.
- Subjects :
- Fetus
business.industry
Fast Fourier transform
Mathematical analysis
General Engineering
Estimator
Pattern recognition
Cortical dysplasia
medicine.disease
Fractal dimension
Computer Science Applications
Fetal brain
Artificial Intelligence
medicine
Artificial intelligence
Cortical surface
Mr images
business
Mathematics
Subjects
Details
- ISSN :
- 09574174
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Expert Systems with Applications
- Accession number :
- edsair.doi...........89527a8e731526090003b81f1b02f8c6