Fusion of CT and MRI images using Discrete Multiwavelet Transform
| International Journal of Computer Trends and Technology (IJCTT) | |
© - May Issue 2013 by IJCTT Journal | ||
Volume-4 Issue-5 | ||
Year of Publication : 2013 | ||
Authors :Kusum Rani,Reecha Sharma |
Kusum Rani,Reecha Sharma"Fusion of CT and MRI images using Discrete Multiwavelet Transform"International Journal of Computer Trends and Technology (IJCTT),V4(5):1341-1343 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - Image fusion is a process of combining the complementary information from two or more images into a single highly informative image. The resulting fused image contains more information than both the input images. In this paper DMWT algorithm for fusing two different modality medical images and different quantitative metrics are calculated. The images obtained from different medical imaging techniques such as Computer Tomography (CT) and Magnetic Resonance (MR) images are fused into a new image to improve the information quality. In the present fusion algorithm, the input images from two different modalities such as CT and MR are initially registered and then transform namely Multi-Wavelet transform is applied on the input images. Finally the resultant images are fused using various fusion techniques. Qualitative metrics for resultant image such as entropy, standard deviation are calculated.
References-
[1] K. Kazemi and H. A. Moghaddam, “Fusion of multifocus images using discrete multiwavelet transform,” IEEE Conf. on Multisensor Fusion and Int. for Int. Systems, pp. 167-172, 2003.
[2] Hai-Wi Wang “Multisensor image fusion by using discrete multiwavelet transform”Third International Conference on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004
[3] M. I. Smith, J. P. Heather, "Fusion Technology Review of Image in 2005," Proceedings of the SPIE, Volume 5782, pp. 29-45, 2005
[4] T. N. T. Goodman and S. L. Lee, “Wavelets of Multiplicity r,” Trans. Of the Amer. Math. Soc., Vol. 342, pp. 307-324, 1994.
[5] V. Strela, “Multiwavelets: Theory and Applications,” Ph.D Thesis, MIT,1996.
[6] LahouariGhouti, Ahmed Bouridane and Mohammad K. Ibrahim “Improved Image Fusion Using Balanced Multiwavelets”,2004
[7] H. Wang, J. Peng, and W. Wu, “Fusion algorithm for multisensor images based on discrete multiwavelet transform,” IEE Proc. Vis. Image Signal Process., Vol. 149, No. 5, pp. 283-289, Oct. 2002.
[8] K. Kazemi, and A. ShikhHassani, “Gray scale imagefusion using DMWT”, 5’h International Student Conference on Electrical engineering, Shiraz, Iran, 2002.
[9] Dr. M. Sumathi , R. Barani “Qualitative Evaluation of Pixel Level Image Fusion Algorithms” IEEE transaction on Pattern Recognition, Informatics and Medical Engineering, March 21-23, 2012
Keywords — —Computed Tomography, Magnetic Resonance Imaging, Fusion Technique, Multiwavelet Transform.