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Reseach Article

Medical Image Fusion using Combined Multi-Resolution and Multi-Scaling Transform

by Dipixa H. Rana, Sheshang D. Degadwala
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 6
Year of Publication: 2014
Authors: Dipixa H. Rana, Sheshang D. Degadwala
10.5120/18757-0024

Dipixa H. Rana, Sheshang D. Degadwala . Medical Image Fusion using Combined Multi-Resolution and Multi-Scaling Transform. International Journal of Computer Applications. 107, 6 ( December 2014), 26-29. DOI=10.5120/18757-0024

@article{ 10.5120/18757-0024,
author = { Dipixa H. Rana, Sheshang D. Degadwala },
title = { Medical Image Fusion using Combined Multi-Resolution and Multi-Scaling Transform },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 6 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number6/18757-0024/ },
doi = { 10.5120/18757-0024 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:22.715685+05:30
%A Dipixa H. Rana
%A Sheshang D. Degadwala
%T Medical Image Fusion using Combined Multi-Resolution and Multi-Scaling Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 6
%P 26-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Fusion is a process of combining the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality. This paper uses MRI and CT images for fusion which contains complementary information helpful for diagnosis of disease. Proposed approach, medical image fusion based on the combined effect of Discrete Wavelet Transform (DWT) and Discrete Ripplet Transform (DRT). The images are initially transformed into multi-resolution image using DWT. The approximation image are further transformed using DRT. Then get ripplet coefficients and these are applied with Image Blocking method. The proposed method can be helpful for better medical diagnosis.

References
  1. C. T . Kavitha, C. Chellamuthu, R. Rajesh, "Medical Image Fusion using combined wavelet and ripplet transforms" Elsevier, 2012.
  2. Madhuri J. Patel, Keyur N. Brahmbhatt , "Medical Image Fusion" International journal of Advance Engineering and Research development (IJAERD), 2014, vol, no. 1, Issue 5.
  3. Madhuri J. Patel, Keyur N. Brahmbhatt, Z. H. Shah, "Comparative Study on Image Fusion Methods" ,International Journal of Graphics & Image Processing ,Vol. 4,issue 1,Feb. 2014.
  4. S. Das*, M. Chowdhury, and M. K. Kundu, "Medical Image Fusion Based On Ripplet Transform Type-I", Progress In Electromagnetics Research B, Vol. 30, 355–370, 2011.
  5. Wang Xin, Li Yingfang , "A New Method for Multi-Focus Image Fusion Using Countourlet Transform",IEEE, 2011.
  6. Chetan K. Solanki, Narendra M Patel , "Pixel Based And Wavelet Based Image Fusion Methods With Their Comparative Study" NCRTET, 2011.
  7. Sudeb Das, Malay Kumar Senior Member , "Ripplet Based Multimodality Medical Image Fusion using Pulse Coupled Neurzl Network and Modified Spatial Frequency" IEEE, 2011.
  8. Pramit Parekh, Nehal Patel, Priteshkumar, Sarita Visavalia, "Comparative Study and Analysis of Medical Image Fusion Techniques" (IJCA),2014.
Index Terms

Computer Science
Information Sciences

Keywords

Image fusion MRI Image CT Image Discrete Wavelet Transform (DWT) Discrete Ripplet Transform (DRT) Image Blocking.