
Mid‐sagittal plane detection in brain magnetic resonance image based on multifractal techniques
Author(s) -
Ramasamy Uthayakumar,
Arulprakash Gowrisankar
Publication year - 2016
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2016.0003
Subject(s) - asymmetry , sagittal plane , multifractal system , homogeneity (statistics) , image plane , fractal , ground truth , fractal dimension , magnetic resonance imaging , median plane , physics , artificial intelligence , mathematics , computer science , nuclear magnetic resonance , image (mathematics) , statistics , mathematical analysis , geometry , anatomy , medicine , radiology , quantum mechanics
Human brain is separated into two hemispheres by the mid‐sagittal plane (MSP) as bilateral symmetry. Extraction of this symmetry plane from magnetic resonance images is one of the precise processes for diagnosis. The foremost challenge of this work is to analyse the degree of asymmetry between hemispheres. Most of the existing work has analysed primarily on the image intensity to estimate the asymmetry between hemispheres. The present study explores the possibility of the generalised fractal dimensions to measure the asymmetry between hemispheres, in addition multifractal spectra applies to refine the optimal region of interest which characterises the complexity and homogeneity of an object. In order to validate the efficiency of the proposed technique, experimental results are compared with three state‐of‐the‐art methods by the performance evaluation metrics such as yaw angle error and roll angle error. Besides, angular deviation and average deviation of distance between ground truth line and extracted MSP by the developed method is compared.