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General Information
    • ISSN: 1793-8201 (Print)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • E-mail: ijcte@iacsitp.com
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2011 Vol.3(3): 338-346 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.329

ROI Based Encoding of Medical Images: An Effective Scheme Using Lifting Wavelets and SPIHT for Telemedicine

T. M. P. Rajkumar and Mrityunjaya V. Latte

Abstract—Telemedicine characterized by transmission of medical data and images between users is one of the emerging fields in medicine. Huge bandwidth is necessary for transmitting medical images over the internet. Resolution factor and number of images per diagnosis makes even the size of the images that belongs to a single patient to be very large in size. So there is an immense need for efficient compression techniques for use in compressing these medical images. Each of the regions that are considered to be more important than others in medical images is termed as a Region of Interest (ROI) e.g. tumor region of the brain MRI. Thus, the regions of interest can be coded with high spatial resolution than the background while transmitting the images. By this, ROI of high compression rate and high quality can be obtained. This paper reviews the application of ROI coding in the field of telemedicine. Wavelet transform with lifting is used to perform image coding based on Set Partitioning in Hierarchical Trees (SPIHT). ROI coding with high spatial resolution than the background is accomplished using tiling method. High compression ratio is achieved by obtaining the ROI through user interaction and coding with the user given resolution. The experimental result shows that the application of ROI coding achieves high compression rate and quality ROI by using wavelet with lifting and tiling method.

Index Terms—Image compression, Telemedicine, Region of Interest (ROI), Tiling, Wavelet transform, Lifting, SPIHT.

Mr T. M. P. Rajkumar, Research Scholar, E and C Department, Anjuman Engineering College, Bhatkal, India (e-mail: tmprajakumarphd@gmail.com).
Dr. Mrityunjaya V. Latte, Principal, JSS Academy of Technical Education, Bangalore, India.


Cite: T. M. P. Rajkumar and Mrityunjaya V. Latte, "ROI Based Encoding of Medical Images: An Effective Scheme Using Lifting Wavelets and SPIHT for Telemedicine," International Journal of Computer Theory and Engineering vol. 3, no. 3, pp. 338-346, 2011.

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