Evaluation of image compression for computer-aided diagnosis of breast tumors in sonography

Yu-Len Huang; We-Min Chen; Chi-Chuan Tao

doi:10.1117/12.633223

24 June 2005 Evaluation of image compression for computer-aided diagnosis of breast tumors in sonography

Yu-Len Huang, We-Min Chen, Chi-Chuan Tao

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596053 (2005) https://doi.org/10.1117/12.633223
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

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.

Citation Download Citation

Yu-Len Huang, We-Min Chen, and Chi-Chuan Tao "Evaluation of image compression for computer-aided diagnosis of breast tumors in sonography", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596053 (24 June 2005); https://doi.org/10.1117/12.633223

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