Compression/decompression strategies for large-volume medical imagery

Karthik Krishnan; Michael W. Marcellin; Ali Bilgin; Mariappan S. Nadar

doi:10.1117/12.535650

19 April 2004 Compression/decompression strategies for large-volume medical imagery

Karthik Krishnan, Michael W. Marcellin, Ali Bilgin, Mariappan S. Nadar

Proceedings Volume 5371, Medical Imaging 2004: PACS and Imaging Informatics; (2004) https://doi.org/10.1117/12.535650
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

We present a scheme for compressed domain interactive rendering of large volume data sets over distributed environments. The scheme exploits the distortion scalability and multi-resolution properties offered by JPEG2000 to provide a unified framework for interactive rendering over low bandwidth networks. The interactive client is provided breadth in terms of scalability in resolution, position and progressive improvement by quality. The server exploits the spatial locality offered by the DWT and packet indexing information to transmit, in so far as possible, compressed volume data relevant to the clients query. Once the client identifies its volume of interest (VOI), the volume is refined progressively within the VOI. Contextual background information can also be made available having quality fading away from the VOI. The scheme is ideally suited for client-server setups with low bandwidth constraints, with the server maintaining the compressed volume data, to be browsed by a client with low processing power and/or memory. Rendering can be performed at a stage when the client feels that the desired quality threshold has been attained. We investigate the effects of code-block size on compression ratio, PSNR, decoding times and data transmission to arrive at an optimal code-block size for typical VOI decoding scenarios.

Citation Download Citation

Karthik Krishnan, Michael W. Marcellin, Ali Bilgin, and Mariappan S. Nadar "Compression/decompression strategies for large-volume medical imagery", Proc. SPIE 5371, Medical Imaging 2004: PACS and Imaging Informatics, (19 April 2004); https://doi.org/10.1117/12.535650

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available