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30 October 1997 Medical image compression with embedded wavelet transform
Po-Yuen Cheng, Freddie Shing-Hong Lin, Tomasz P. Jannson
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Proceedings Volume 3164, Applications of Digital Image Processing XX; (1997) https://doi.org/10.1117/12.292757
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States
Abstract
The need for effective medical image compression and transmission techniques continues to grow because of the huge volume of radiological images captured each year. The limited bandwidth and efficiency of current networking systems cannot meet this need. In response, Physical Optics Corporation devised an efficient medical image management system to significantly reduce the storage space and transmission bandwidth required for digitized medical images. The major functions of this system are: (1) compressing medical imagery, using a visual-lossless coder, to reduce the storage space required; (2) transmitting image data progressively, to use the transmission bandwidth efficiently; and (3) indexing medical imagery according to image characteristics, to enable automatic content-based retrieval. A novel scalable wavelet-based image coder was developed to implement the system. In addition to its high compression, this approach is scalable in both image size and quality. The system provides dramatic solutions to many medical image handling problems. One application is the efficient storage and fast transmission of medical images over picture archiving and communication systems. In addition to reducing costs, the potential impact on improving the quality and responsiveness of health care delivery in the US is significant.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Po-Yuen Cheng, Freddie Shing-Hong Lin, and Tomasz P. Jannson "Medical image compression with embedded wavelet transform", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.292757
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KEYWORDS
Medical imaging
Image compression
Data storage
Image quality
Medicine
Picture Archiving and Communication System
Quality systems
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