Fractal description and clinical controlled study of infants´ cerebral medical computed tomography

Author

Li He-hong ; Luo Liang-ping ; Li, Huang

Author_Institution

1st Affiliated Hosp., Dept. of Radiol., Jinan Univ., Guangzhou, China

Volume

6

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

3045

Lastpage

3053

Abstract

Fractal theory is widely used in every field of biomedicine. Digital segmentation recognition and fractal analysis of brain medical images in 30 infants (16 boys, 14 girls, age 27-36ms, average age 33.87 ± 1.12ms ) shows that infants´ brains have been highly differentiated. Further clinical randomized controlled study, which was used to test the validity and accuracy of the mathematical morphological criterion, showed that spectral width parameters of multifractal spectrum and criterion of fractal dimension in normal children could be a practical specific parameter for assessing the fractal mode of normal infants´ brain development, and it could provide a valuable analytical tool for predicting children´s psychomotor retardation and assessing children´s normal brain developmental mode.

Keywords

brain; computerised tomography; fractals; image recognition; image segmentation; mathematical morphology; medical image processing; biomedicine; brain medical images; children psychomotor retardation; clinical controlled study; fractal dimension theory; image recognition; image segmentation; infants; mathematical morphology; medical computed tomography; multifractal spectrum; Accuracy; Correlation; Fractals; Linear regression; Medical diagnostic imaging; Pediatrics; cerebral; dimension; fractal; infants;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5584317

Filename

5584317