Gauss Seidal Method to Detect the Lesion with Accuracy Time in Front of Student Test for MR Images
Kaouther A. El Kourd 1,
Naoual B. Atia 2, and
Abd El Rahman C. Malki 3
1. Department of Physics, Preparatory School for Science & Techniques, Algiers, Algeria
2. Department of Engineering, Electronic Institute of Med Khider Biskra, Algeria
3. Department of Mathematical, Preparatory School for Science & Techniques, Algeria
2. Department of Engineering, Electronic Institute of Med Khider Biskra, Algeria
3. Department of Mathematical, Preparatory School for Science & Techniques, Algeria
Abstract—In this paper iterative method is proposed with Gauss Seidal (G.S) to detect the position of disease on MR image with less computation time than the statistical approach (student's t test). To solve linear systems, Gauss Seidal build a sequence of approximations that converges to the true solution on other side Student method adjusts a least square model by statistical estimating. Our results obtained with G.S are excellent with accuracy time in front of Student method. The images are obtained from radiology of KOUBA Hospital of Algeria. The software used here is Matlab.
Index Terms—statistical, iterative, Gauss Seidal, student(t)
Cite: Kaouther A. El Kourd, Naoual B. Atia, and Abd El Rahman C. Malki, "Gauss Seidal Method to Detect the Lesion with Accuracy Time in Front of Student Test for MR Images," International Journal of Electronics and Electrical Engineering, Vol. 5, No. 2, pp. 144-147, April 2017. doi: 10.18178/ijeee.5.2.144-147
Cite: Kaouther A. El Kourd, Naoual B. Atia, and Abd El Rahman C. Malki, "Gauss Seidal Method to Detect the Lesion with Accuracy Time in Front of Student Test for MR Images," International Journal of Electronics and Electrical Engineering, Vol. 5, No. 2, pp. 144-147, April 2017. doi: 10.18178/ijeee.5.2.144-147
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