International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 129 | Views: 257

Research Paper | Electronics & Communication Engineering | Egypt | Volume 5 Issue 9, September 2016 | Popularity: 6.7 / 10


     

A Teleconsultation System for Medical Image Fusion

Safa Fadl, Hossam El-Din Mostafa, Hassan H. Soliman


Abstract: This paper explores different medical image fusion methods and their comparison to find out which fusion method gives better results based on the performance parameters to be a part of medical image teleconsultation system. The teleconsultation in medical diagnosis done by combining images obtained by Computed Tomography (CT) scan and Magnetic Resonance Imaging (MRI) so we get more information and additional data from several different resources to be combined as one fused image. For this, Wavelet Transform, Contourlet Transform and Curvelet transform and its experimental results are employed, evaluated and compared based on its Root Mean Square Error (RMSE), Weighted Peak Signal to Noise Ratio (WPSNR), Mutual Information (MI), Correlation Coefficient (CC) and Entropy (H). Comparison results demonstrate the achievement of better performance of fusion by using Curvelet transform.


Keywords: about teleconsultation, medical Image Fusion, Wavelet Transform, Curvelet Transform, Contourlet Transform, Web Application, Performance parameters


Edition: Volume 5 Issue 9, September 2016


Pages: 469 - 474



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Safa Fadl, Hossam El-Din Mostafa, Hassan H. Soliman, "A Teleconsultation System for Medical Image Fusion", International Journal of Science and Research (IJSR), Volume 5 Issue 9, September 2016, pp. 469-474, https://www.ijsr.net/getabstract.php?paperid=ART20161511, DOI: https://www.doi.org/10.21275/ART20161511



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