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The Scientific World Journal
Volume 2014, Article ID 695752, 7 pages
http://dx.doi.org/10.1155/2014/695752
Research Article

Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging

1Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, Pakistan
2Center for Advanced Studies in Telecommunication (CAST), COMSATS Institute of Information Technology, Islamabad, Pakistan

Received 6 August 2013; Accepted 15 December 2013; Published 13 February 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Amina Jameel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Pritika, and Sumit Budhiraja, “Multimodal medical image fusion using modified fusion rules and guided filter,” International Conference on Computing, Communication & Automation, pp. 1067–1072, . View at Publisher · View at Google Scholar
  • N. N. N. Nazirun, E. Supriyanto, D. Baumgarten, J. Haueisen, C. Pohl, and A. F. Omar, “The correlation of features in detecting cardiovascular vulnerable plaque,” 2016 International Conference on Robotics, Automation and Sciences (ICORAS), pp. 1–4, . View at Publisher · View at Google Scholar
  • Amina Jameel, Abdul Ghafoor, and Muhammad Mohsin Riaz, “All in focus fusion using guided filter,” Multidimensional Systems and Signal Processing, 2014. View at Publisher · View at Google Scholar
  • Christine Pohl, Rosli Mohd Ali, Sanjiv Joshi Hari Chand, Syahidah Syed Tamin, Al Fazir Omar, Nur'Aqilah Hamzah, Nor Nisha Nadhira Nazirun, and Eko Supriyanto, “Interdisciplinary approach to multimodal image fusion for vulnerable plaque detection,” IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet", pp. 11–16, 2015. View at Publisher · View at Google Scholar
  • Amina Jameel, Abdul Ghafoor, and Muhammad Mohsin Riaz, “Wavelet and guided filter based multifocus fusion for noisy images,” Optik - International Journal for Light and Electron Optics, vol. 126, no. 23, pp. 3920–3923, 2015. View at Publisher · View at Google Scholar
  • Umer Javed, M. Mohsin Riaz, Abdul Ghafoor, and Tanveer Ahmed Cheema, “Weighted fusion of MRI and PET images based on fractal dimension,” Multidimensional Systems and Signal Processing, 2015. View at Publisher · View at Google Scholar
  • Lei Zhang, Feng baoYang, Linna Ji, Huifeng Yuan, and Anran Dong, “A categorization method of infrared polarization and intensity image fusion algorithm based on the transfer ability of difference features,” Infrared Physics & Technology, 2016. View at Publisher · View at Google Scholar
  • Pritika, and Sumit Budhiraja, “Multimodal medical image fusion based on guided filtered multi-scale decomposition,” International Journal of Biomedical Engineering and Technology, vol. 20, no. 4, pp. 285–301, 2016. View at Publisher · View at Google Scholar
  • Yan Han, Yang Gao, Guo Nan, Man Hu, Xiaobin Zhou, and Xiaokun Hu, “Value of CT-MRI fusion in iodine-125 brachytherapy for high-grade glioma,” Oncotarget, vol. 8, no. 68, pp. 112883–112892, 2017. View at Publisher · View at Google Scholar