Title :
Analysis of three-dimensional vasculature using multifractal theory
Author :
Ward, Wil O. C. ; Yuchun Ding ; Li Bai
Author_Institution :
Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK
Abstract :
This paper investigates the use of multifractal formalism for characterising 3D brain vasculature of 2 different mammalian species. Multifractal properties were found across all the 3D vascular models. Variations in the analysis results appear to correspond with vessel density ans morphology. The implication of the research is that multifractal analysis could potentially provide a useful tool for clinical assessment of diseases that are known to alter density and structure of brain microvasculature.
Keywords :
blood vessels; brain; computerised tomography; diseases; fractals; medical image processing; 3D brain vasculature; 3D vascular models; brain microvasculature density; brain microvasculature structure; clinical assessment; diseases; mammalian species; multifractal formalism; multifractal theory; three-dimensional vasculature analysis; vessel density; vessel morphology; Biomedical imaging; Blood vessels; Brain models; Diseases; Fractals; Three-dimensional displays; biomedical image processing; fractals; multi-dimensional signal processing;
Conference_Titel :
Computational Intelligence in Healthcare and e-health (CICARE), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CICARE.2014.7007835
