Title :
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
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;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5584317