NDLI: Medical image compression using advanced coding technique

Content Provider	IEEE Xplore Digital Library
Author	Sridhar, K.V. Prasad, K.S.R.
Copyright Year	2008
Description	Author affiliation: Nat. Inst. of Technol., Warangal (Sridhar, K.V.; Prasad, K.S.R.)
Abstract	Modern medical imaging requires storage of large quantities of digitized clinical data. Due to the constrained bandwidth and storage capacity, however, a medical image must be compressed before transmission and storage. Among the existing compression schemes, Integer based discrete cosine transform coding is one of the most effective strategies. Image data in spatial domain is transformed into spectral domain after transformation to attain higher compression gains. Based on the quantization strategy, coefficients of low amplitude in the transformed domain are discarded using a threshold technique: set partitioning in hierarchical trees (SPIHT) where in only significant coefficients are retained to increase the compression ratio without inducing salient distortion. In this paper, we used two advanced coding engines context adaptive variable length coding (CAVLC) and embedded block coding with optimal truncation (EBCOT) to code the significant coefficients. Recording or transmitting the significant coefficients instead of the whole coefficients achieves the goal of compression.. Simulations are carried out on different medical images, which include CT skull, angiogram and MR images. Consequent images demonstrate the performance of two coding engines in terms of PSNR & bpp without perceptible alterations. Simulation results showed that the Integer DCT with SPIHT and CAVLC coding has shown better results compared to JPEG & JPEG2000 schemes. Therefore, our proposed method is found to preserve information fidelity while reducing the amount of data.
Starting Page	2142
Ending Page	2145
File Size	162729
Page Count	4
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697570
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Biomedical imaging Image storage Discrete cosine transforms Engines Medical simulation Bandwidth Quantization Block codes Computed tomography
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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