CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Comparison of Fusion Algorithms for Fusion of CT and MRI Images

by Sweta Mehta, Bijith Marakarkandy, Jaydev Shilu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 25
Year of Publication: 2013
Authors: Sweta Mehta, Bijith Marakarkandy, Jaydev Shilu
10.5120/11757-7267

Sweta Mehta, Bijith Marakarkandy, Jaydev Shilu . Comparison of Fusion Algorithms for Fusion of CT and MRI Images. International Journal of Computer Applications. 67, 25 ( April 2013), 39-43. DOI=10.5120/11757-7267

@article{ 10.5120/11757-7267,
author = { Sweta Mehta, Bijith Marakarkandy, Jaydev Shilu },
title = { Comparison of Fusion Algorithms for Fusion of CT and MRI Images },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 25 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number25/11757-7267/ },
doi = { 10.5120/11757-7267 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:26:28.403073+05:30
%A Sweta Mehta
%A Bijith Marakarkandy
%A Jaydev Shilu
%T Comparison of Fusion Algorithms for Fusion of CT and MRI Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 25
%P 39-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents combination of wavelet and curvelet based approach for the fusion of magnetic resonance (MR) and computed tomography (CT) images. The objective of the fusion of an MR image and a CT image of the same organ is to obtain a single image containing as much information as possible about that organ for diagnosis. In this paper some attempts have been proposed for the fusion of MR and CT images using the wavelet transform. Since medical images have several objects and curved shapes, it is expected that the curvelet transform would be better in their fusion. The simulation results show better result than the fusion using wavelet algorithm. Proposed method is combination of wavelet and curvelet transform is used for fusion the medical images. In vision, the fusion algorithm proposed in this project acquires the best fusion result compare to other two methods. In objective evaluation criteria, its fusion characteristic is superior to traditional wavelet transform and curvelet transform. The simulation results show superiority of the combination of wavelet and curvelet transform to the only wavelet transform and only curvelet transform in the fusion of MR and CT images from the visual quality, the peak signal to noise ratio (PSNR) and Root Mean Square Error (RMSE) points of view. It includes multiresolution analysis ability, edge direction of images and analyzes feature of images better.

References
  1. Choi, M. , R. Y. Kim, M. R. Nam, and H. O. Kim, "Fusion of multispectral and panchromatic satellite images using the curvelet transform," IEEE Geosci. Remote Sensing Lett. , Vol. 2, No. 2, pp. 136–140, Apr. 2005.
  2. Guihong Qu, Dali Zhang and Pingfan Yan - Medical image fusion by wavelet transform modulus maxima, OPTICS EXPRESS, Vol. 9, No. 4, 2001, http://www. opticsinfobase. org/DirectPDFAccess, 2008
  3. Niu˜nez, J. , X. Otazu, O. Fors, A. Prades, V. Pala, and R. Arbiol, "Multiresolution-based image fusion with additive wavelet decomposition," IEEE Trans. Geosci. Remote Sensing, Vol. 37, No. 3, pp. 1204–1211, May 1999.
  4. Udomhunsakul, S. and P. Wongsita, "Feature extraction in medical MRI images," Proceeding of 2004 IEEE Conference on Cybernetics and Intelligent Systems, Vol. 1, pp. 340–344, Dec. 2004.
  5. Kirankumar Y. , Shenbaga Devi S. - Transform-based medical image fusion, Int. J. Biomedical Engineering and Technology, Vol. 1, No. 1, 2007 101
  6. B. E. Usevitch, "A Tutorial on Modern Lossy Wavelet Image Compression: Foundations of JPEG 2000," IEEE Signal Processing Magazine, vol. 18, pp. 22-3, 2001.
  7. Mallat S. G, "A Theory for Multiresolution Signal Decomposition: the Wavelet Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, pp. 674–693, July 1989
  8. Saevarsson, B. B. , J. R. Sveinsson, and J. A. Benediktsson, "Combined wavelet and curvelet denoising of SAR images,"Proceedings of IEEE International Geoscience and Remote Sensing Symposium, (IGARSS), Vol. 6, 4235–4238, 2004.
  9. Saevarsson, B. B. , J. R. Sveinsson, and J. A. Benediktsson, "Translation invariant combined denoising algorithm," IEEE International Symposium on Circuits and Systems, (ISCAS 2005), Vol. 5, 4241–4244, 2005.
  10. Saevarsson, B. B. , J. R. Sveinsson, and J. A. Benediktsson, "Time invariant curvelet denoising," Proceeding of the Nordic Signal Processing Symposium, (NORSIG 2004), 117–120, 2004.
  11. Abd-El-samie, F. E. , "Superresolution reconstruction of image, Ph. D. thesis, University of Menoufia, Egypt, 2005.
  12. Yamamura, Y. , K. Hyoungseop, and Y. Akiyoshi, "A method for image registration by maximization of mutual information,"SICE-ICASE International Joint Conference, pp. 1469–1472, 2006.
  13. CALI IR, C. , C. Korkmaz, and T. Kaya, "Comparison of MRI and CT in the diagnosis of early sacroiliitis," The Medical Journal of Kocatepe, pp. 49–56, 2006.
  14. Munir, S. , "MRI scanner," Proceedings of the First Regional Conference IEEE of the Biomedical Engineering Society of India, 3/69–3/70, Feb. 1995
  15. Gilbert, B. , "The multimodality imaging challenge in radiotherapy (RT),"Radiotherapy Department of Piti´e-Salp´etri`ere Hospital Paris, France.
  16. Tomazevic, D. , B. Likar, T. Slivnik, and F. Pernus, "3-D/2-D registration of CT and MR to X-ray images," IEEE Transactions on Medical Imaging, Vol. 22, pp. 1407–1416, 2003.
  17. A. Goshtasby, 2-D and 3-D Image Registration, Wiley Publishers, New York, April 2005
  18. J. Hajnal, D. Hawkes, and D. Hill, Medical Image registration, CRC Press, 2001
Index Terms

Computer Science
Information Sciences

Keywords

Computed Tomography Magnetic Resonance Imaging Fusion Technique Wavelet Transform Curvelet Transform

Powered by PhDFocusTM