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Proceedings Paper

Evaluation of image compression for computer-aided diagnosis of breast tumors in sonography
Author(s): Yu-Len Huang; We-Min Chen; Chi-Chuan Tao
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Paper Abstract

Medical imaging examinations form the basis for physicians diagnosing diseases, as evidenced by the increasing use of digital medical images for picture archiving and communications systems (PACS). However, with enlarged medical image databases and rapid advances in storage and transmission technologies, PACS requires image compression to accelerate the image transmission rate and conserve disk space in order to reduce implementation costs. Therefore, this study evaluates the compression ratios of JPEG and JPEG2000 standards for computer-aided diagnosis (CAD) of breast tumors in medical ultrasound images. The ultrasound images with various compression ratios are compressed by using the two efficacious image compression standards. The reconstructed images are then diagnosed by CAD. Next, diagnostic accuracy is measured based on receiver operating characteristic (ROC) analysis. Analysis results ensure a comparison of the compression ratios with JPEG and JPEG2000 for ultrasound images. Results of this study provide the possible bit rates using JPEG and JPEG2000 for breast ultrasound images.

Paper Details

Date Published: 24 June 2005
PDF: 10 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596053 (24 June 2005); doi: 10.1117/12.633223
Show Author Affiliations
Yu-Len Huang, Tunghai Univ. (Taiwan)
We-Min Chen, National Dong-Hwa Univ. (Taiwan)
Chi-Chuan Tao, Tunghai Univ. (Taiwan)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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