INFORMATION CHANGE THE WORLD

International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.6, No.2, Apr. 2014

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, Dijana Capeska Bogatinoska, Filip A. Risteski, Dimitar Veljanovski

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", IJIEEB, vol.6, no.2, pp.1-8, 2014. DOI: 10.5815/ijieeb.2014.02.01

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