Evaluation of image compression for computer-aided diagnosis of breast tumors in 3D sonography

We-Min Chen; Yu-Len Huang; Chi-Chuan Tao; Dar-Ren Chen; Woo-Kyung Moon

doi:10.1117/12.652598

16 March 2006 Evaluation of image compression for computer-aided diagnosis of breast tumors in 3D sonography

We-Min Chen, Yu-Len Huang, Chi-Chuan Tao, Dar-Ren Chen, Woo-Kyung Moon

Proceedings Volume 6147, Medical Imaging 2006: Ultrasonic Imaging and Signal Processing; 614701 (2006) https://doi.org/10.1117/12.652598
Event: Medical Imaging, 2006, San Diego, California, United States

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 growth of patients' case reports, PACS requires image compression to accelerate the image transmission rate and conserve disk space for diminishing implementation costs. For this purpose, JPEG and JPEG2000 have been accepted as legal formats for the digital imaging and communications in medicine (DICOM). The high compression ratio is felt to be useful for medical imagery. Therefore, this study evaluates the compression ratios of JPEG and JPEG2000 standards for computer-aided diagnosis (CAD) of breast tumors in 3-D medical ultrasound (US) images. The 3-D US data sets with various compression ratios are compressed using the two efficacious image compression standards. The reconstructed data sets are then diagnosed by a previous proposed CAD system. The diagnostic accuracy is measured based on receiver operating characteristic (ROC) analysis. Namely, the ROC curves are used to compare the diagnostic performance of two or more reconstructed images. Analysis results ensure a comparison of the compression ratios by using JPEG and JPEG2000 for 3-D US images. Results of this study provide the possible bit rates using JPEG and JPEG2000 for 3-D breast US images.

Citation Download Citation

We-Min Chen, Yu-Len Huang, Chi-Chuan Tao, Dar-Ren Chen, and Woo-Kyung Moon "Evaluation of image compression for computer-aided diagnosis of breast tumors in 3D sonography", Proc. SPIE 6147, Medical Imaging 2006: Ultrasonic Imaging and Signal Processing, 614701 (16 March 2006); https://doi.org/10.1117/12.652598

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