Computational Intelligence in Magnetic Resonance Imaging of the Human Brain: The Classic-Curvature and the Intensity-Curvature Functional in a Tumor Case Study
Автор: Carlo Ciulla, Dijana Capeska Bogatinoska, Filip A. Risteski, Dimitar Veljanovski
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 2 vol.6, 2014 года.
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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.
Classic-Curvature, Computational Intelligence, Intensity-Curvature Functional, Magnetic Resonance Imaging (MRI), Model Polynomial Function, Second-Order Derivative, Second-Order Differentiability
Короткий адрес: https://sciup.org/15013240
IDR: 15013240
Список литературы 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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