Title :
Local Multifractal Analysis by 2D-WTMM Method to Detect Brain Tumor
Author :
Khider, M. ; Haddad, Bassam
Author_Institution :
LTIR, Univ. des Sci. et de la Technol. Houari Boumediene (USTHB), Algiers, Algeria
Abstract :
In the present work, we have implemented a novel technique to detect brain tumors; the basic idea is to study the behavior of the Legendre spectrum locally, to do this, we use a sliding window scanning with reduced size, the multifractal spectrum is evaluated locally inside each window, with the use of the 2D-WTMM method and the multifractal formalism of Frisch and Parisi.
Keywords :
biology computing; brain; fractals; tumours; 2D WTMM method; Legendre spectrum; brain tumor detection; multifractal analysis; multifractal formalism; multifractal spectrum; sliding window scanning; Continuous wavelet transforms; Fractals; Skeleton; Tumors; Wavelet analysis; 2D-WTMM; Brain Tumors; MRI; Multifractal Analysis; Wavelets;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-6421-8
DOI :
10.1109/UKSim.2013.88
