International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 6, No. 2, 8 Apr. 2014
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Computational Intelligence in Magnetic Resonance Imaging of the Human Brain: The Classic-Curvature and the Intensity-Curvature Functional in a Tumor Case Study
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Author(s)
Carlo Ciulla
1,*
Dijana Capeska Bogatinoska
1
Filip A. Risteski
2
Dimitar Veljanovski
2
Index Terms
Classic-Curvature, Computational Intelligence, Intensity-Curvature Functional, Magnetic Resonance Imaging (MRI), Model Polynomial Function, Second-Order Derivative, Second-Order Differentiability
Abstract
This research solves the computational intelligence problem of devising two mathematical engineering tools called Classic-Curvature and Intensity-Curvature Functional. It is possible to calculate the two mathematical engineering tools from any model polynomial function which embeds the property of second-order differentiability. This work presents results obtained with bivariate and trivariate cubic Lagrange polynomials. The use of the Classic-Curvature and the Intensity-Curvature Functional can add complementary information in medical imaging, specifically in Magnetic Resonance Imaging (MRI) of the human brain.
Cite This Paper
Carlo Ciulla, Dijana Capeska Bogatinoska, Filip A. Risteski, Dimitar Veljanovski, "Computational Intelligence in Magnetic Resonance Imaging of the Human Brain: The Classic-Curvature and the Intensity-Curvature Functional in a Tumor Case Study", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.6, no.2, pp.1-8, 2014. DOI:10.5815/ijieeb.2014.02.01
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