Clinical evaluation of JPEG2000 compression algorithm for digital mammography

Min Mo Sung, Hee Joung Kim, Eun Kyung Kim, Jin Young Kwak, Jae Kyung Yoo, Hyung Sik Yoo

Research output: Contribution to conferencePaperpeer-review


Medical Images such as CR, and digital mammographic images will require large storage facilities and long transmission times for PACS implementation. ACR-NEMA group is planning to adopt a JPEG2000 compression algorithm in DICOM standard to better utilize medical images. The purpose of this study was to evaluate the compression ratios of JPEG2000 for digital mammographic images using peak signal-to-noise ratio (PSNR), ROC analysis and the t-test. The traditional statistical quality measures such as PSNR, which is a commonly used measure for the evaluation of reconstructed images, measures how the reconstructed image differs from the original by making pixel-by-pixel comparisons. The ability of how accurate to discriminate diseased cases from normal cases is evaluated using receiver operating characteristic (ROC) curve analysis. ROC curves can be used to compare the diagnostic performance of two or more reconstructed images. The t-test can be also used to evaluate the subjective image quality of reconstructed images. The results of the t-test suggested that the possible compression ratios using JPEG2000 for digital mammographic images may be as much as 15:1 without visual loss or with preserving significant medical information at a confidence level of 99%, although both PSNR and ROC analysis suggests as much as 80:1 compression ratio can be achieved without affecting clinical diagnostic performance.

Original languageEnglish
Number of pages5
Publication statusPublished - 2001
Event2001 IEEE Nuclear Science Symposium Conference Record - San Diego, CA, United States
Duration: 2001 Nov 42001 Nov 10


Other2001 IEEE Nuclear Science Symposium Conference Record
Country/TerritoryUnited States
CitySan Diego, CA

All Science Journal Classification (ASJC) codes

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging


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