Quantitative analysis method based on fractal theory for medical imaging of normal brain development in infants.
- Author:
Heheng LI
1
;
Liangping LUO
;
Li HUANG
Author Information
1. Department of Radiology, First Affiliated Hospital of Jinan University, Guangzhou 510632, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
diagnostic imaging;
growth & development;
Child, Preschool;
Female;
Fractals;
Humans;
Image Interpretation, Computer-Assisted;
methods;
Infant;
Infant, Newborn;
Male;
Tomography, X-Ray Computed
- From:
Journal of Biomedical Engineering
2011;28(1):18-21
- CountryChina
- Language:Chinese
-
Abstract:
The present paper is aimed to study the fractal spectrum of the cerebral computerized tomography in 158 normal infants of different age groups, based on the calculation of chaotic theory. The distribution range of neonatal period was 1.88-1.90 (mean = 1.8913 +/- 0.0064); It reached a stable condition at the level of 1.89-1.90 during 1-12 months old (mean = 1.8927 +/- 0.0045); The normal range of 1-2 years old infants was 1.86-1.90 (mean = 1.8863 +/- 4 0.0085); It kept the invariance of the quantitative value among 1.88-1.91(mean = 1.8958 +/- 0.0083) during 2-3 years of age. ANOVA indicated there's no significant difference between boys and girls (F = 0.243, P > 0.05), but the difference of age groups was significant (F = 8.947, P < 0.001). The fractal dimension of cerebral computerized tomography in normal infants computed by box methods was maintained at an efficient stability from 1.86 to 1.91. It indicated that there exit some attractor modes in pediatric brain development.
