| |
| |
|
|
|
|
| dFuse: An Optimized Compression Algorithm for DICOM-Format Image Archive
|
|
Full
text: |
PDF(479.6KB) |
|
|
Source |
International Journal of Biometrics and Bioinformatics (IJBB) |
|
Table of Contents |
|
|
Download
Complete Issue PDF(5.66MB) |
|
Volume: 5 Issue: 2 |
| |
Pages: 28-148 |
|
Publication
Date: May / June 2011 |
|
ISSN
(Online): 1985-2347 |
|
|
|
|
|
Pages |
43 - 52 |
|
Author(s) |
|
|
|
Published
Date |
31-05-2011 |
|
Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
|
ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
| |
|
| |
KEYWORDS: Medical Imaging, Image Compression, DICOM, Wavelets Transforms, Cosine Transforms |
|
|
| |
|
|
| This Manuscript is indexed in the following databases/websites:- |
|
| 1. Google Scholar |
| 2. Directory of Open Access Journals (DOAJ) |
| 3. iSEEK |
| 4. Docstoc |
| 5. refSeek |
| 6. Libsearch |
| |
|
| |
|
|
| Medical images are useful for knowing the details of the human body for health science or remedial reasons. DICOM is structured as a multi-part document in order to facilitate extension of these images. Additionally, DICOM defined information objects are not only for images but also for patients, studies, reports, and other data groupings. More information details in DICOM, resulted in large size, and transferring or communicating these files took lots of time. To solve this, files can be compressed and transferred. Efficient compression solutions are available and they are becoming more critical with the recent intensive growth of data and medical imaging. In order to receive the original and less sized image, we need effective compression algorithm. There are different algorithms for compression such as DCT, Haar, Daubuchies which has its roots in cosine and wavelet transforms. In this paper, we propose a new compression algorithm called “dFuse”. It uses cosine based three dimensional transform to compress the DICOM files. We use the following parameters to check the efficiency of the proposed algorithm, they are i) file size, ii) PSNR, iii) compression percentage and iv) compression ratio. From the experimental results obtained, the proposed algorithm works well for compressing medical images. |
| |
|
| |
|
| |
| 1 |
M. Nelson and J. L. Gailly, “The Data Compression Book”, 2nd ed. Newyork, M & T Books, 1996. |
|
|
| 2 |
A. C. Bovik, “The Essential Guide to Image Processing”, Academic Press, 2009. |
|
|
| 3 |
A. K. Jain, “Image data compression: A review”, In proceedings of IEEE, vol. 69, pp. 349– 389, 1981. |
|
|
| 4 |
K. Rao, P. Yip, "Discrete Cosine Transform: Algorithms, Advantages, and Applications", NY Academic, 1990. |
|
|
| 5 |
Graps, A. "An introduction to wavelets", IEEE Computational Science & Engineering, vol.2, no.2, pp.50-61, Summer 1995, doi: 10.1109/99.388960, 1995. |
|
|
| 6 |
P.C. Cosman, R.M. Gray, and R.A. Olshen, “Evaluation Quality of Compressed Medical Images: SNR, Subjective Rating, and Diagnostic Accuracy”, In proceedings of the IEEE, vol. 82, No. 6 , pp. 919-932,June, 1994. |
|
|
| 7 |
D. Feng, D. Ho, H. Iida, and K. Chen, “Techniques for functional imaging,” in Medical Imaging Systems Techniques and Applications: General Anatomy, C. T. Leondes, Ed. Amsterdam, The Netherlands: Gordon and Breach, invited chapter, pp. 85–145,1997. |
|
|
| 8 |
Lodge, N.K, “Video compression techniques”, Applications of Video Compression in Broadcasting, IEE Colloquium on, 2/1 214, 2002. |
|
|
| 9 |
Ouni T, Ayedi W, Abid M, ”New low complexity DCT based video compression method ”, In Proceedings of Tele Communication ICT09, doi:10.1109/ICTEL2009.5158644, pp:202-207,2009. |
|
|
| 10 |
Gargour, C., Gabrea, M., Ramachandran, V., Lina, J.M., "A short introduction to wavelets and their applications," IEEE Circuits and Systems Magazine, vol.9, no.2, pp.57-68, doi: 10.1109/MCAS.2009.932556, 2009. |
|
|
| 11 |
S. Mallat., “A Wavelet Tour of Signal Processing”, Third Edition: The Sparse Way. Academic Press, 2008. |
|
|
| 12 |
Nadia Benamor and Najoua Essaokri Ben amara, "DICOM Image Compression By Wavelet Transform," In proceedings of IEEE Systems Man and Cybernetics (SMC), Harnmamet, Tunisia, 2002. |
|
|
| 13 |
Suapang, P., Dejhan K., Yimmun S., "Medical image compression and DICOM-format image archive”, ICCAS-SICE, pp.1945-1949, 2009. |
|
|
| 14 |
D. Ho, D. Feng, and K. Chen, “Dynamic image data compression in spatial and temporal domains: Theory and algorithm,” IEEE Trans. Inform. Technol. Biomed., vol. 1, pp. 219– 228, Dec. 1997. |
|
|
| |
|
| |
|
| |
| 1 |
S. Jaganathan and M. A, Fera, “An Integrated Algorithm supporting Confidentiality and Integrity for secured Access and Storage of DICOM Images”, International Journal of Biometrics and Bioinformatics (IJBB), 6(2), pp. 47 – 57, April 2012. |
|
|
| |
|
| |
|
| |
| 1 |
yasni |
| |
|
| |
|
| |
|
| Suresh Jaganathan : Colleagues
|
|
| Geetha Manjusha M B : Colleagues
|
|
|
|
|
|
|
|
|
|
|