Journal of
Electrical and Electronics Engineering Research

  • Abbreviation: J. Electrical Electron. Eng. Res.
  • Language: English
  • ISSN: 2141-2367
  • DOI: 10.5897/JEEER
  • Start Year: 2009
  • Published Articles: 55

Full Length Research Paper

Runge kutta to precise the detection of lesion for magnetic resonance imaging (MRI) image

K. El kourd
  • K. El kourd
  • Electronic institute, Biskra University, Algeria.
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S. El kourd
  • S. El kourd
  • Electronic institute, Biskra University, Algeria.
  • Google Scholar


  •  Received: 17 July 2013
  •  Accepted: 27 October 2014
  •  Published: 30 November 2014

Abstract

In this paper, we translate non linear model to linear one and used numerical analysis: “Runge kutta4 (RK4)” is mathematical solutions to study the approximation’s solutions of ordinary differential equations, then pass to the statistical study for multiple regression to applied anova technique and with it, we extract the place of the lesion on medical image MRI by two ways: Distribution of gaussien curve (hypothesis test of ho) and directly on the pathologic image. The logicial applied here is Matlab.
 
Key words: Runge kutta, linear regression, anova.