Paper
13 March 2008 A novel strategy to access high resolution DICOM medical images based on JPEG2000 interactive protocol
Author Affiliations +
Abstract
The demand for sharing medical information has kept rising. However, the transmission and displaying of high resolution medical images are limited if the network has a low transmission speed or the terminal devices have limited resources. In this paper, we present an approach based on JPEG2000 Interactive Protocol (JPIP) to browse high resolution medical images in an efficient way. We designed and implemented an interactive image communication system with client/server architecture and integrated it with Picture Archiving and Communication System (PACS). In our interactive image communication system, the JPIP server works as the middleware between clients and PACS servers. Both desktop clients and wireless mobile clients can browse high resolution images stored in PACS servers via accessing the JPIP server. The client can only make simple requests which identify the resolution, quality and region of interest and download selected portions of the JPEG2000 code-stream instead of downloading and decoding the entire code-stream. After receiving a request from a client, the JPIP server downloads the requested image from the PACS server and then responds the client by sending the appropriate code-stream. We also tested the performance of the JPIP server. The JPIP server runs stably and reliably under heavy load.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan Tian, Weihua Cai, Jianyong Sun, and Jianguo Zhang "A novel strategy to access high resolution DICOM medical images based on JPEG2000 interactive protocol", Proc. SPIE 6919, Medical Imaging 2008: PACS and Imaging Informatics, 691912 (13 March 2008); https://doi.org/10.1117/12.765056
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Cited by 5 scholarly publications and 2 patents.
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KEYWORDS
Image resolution

JPEG2000

Image compression

Image quality

Picture Archiving and Communication System

Data modeling

Medical imaging

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