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Article Number - 4C349F048633


Vol.6(3), pp. 21 - 25 , November 2014
https://doi.org/10.5897/JEEER2013.0459
ISSN: 1993-8225


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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.
  • Google Scholar
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

Copyright © 2014 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


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.

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APA El kourd, K., & El kourd, S. (2014). Runge kutta to precise the detection of lesion for magnetic resonance imaging (MRI) image. Journal of Electrical and Electronics Engineering Research, 6(3), 21 - 25.
Chicago K. El kourd and S. El kourd. "Runge kutta to precise the detection of lesion for magnetic resonance imaging (MRI) image." Journal of Electrical and Electronics Engineering Research 6, no. 3 (2014): 21 - 25.
MLA K. El kourd and S. El kourd. "Runge kutta to precise the detection of lesion for magnetic resonance imaging (MRI) image." Journal of Electrical and Electronics Engineering Research 6.3 (2014): 21 - 25.
   
DOI https://doi.org/10.5897/JEEER2013.0459
URL http://academicjournals.org/journal/JEEER/article-abstract/4C349F048633

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