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Clinical evaluation of JPEG2000 compression for digital mammography

Authors
 Min-Mo Sung  ;  Hee-Joung Kim  ;  Eun-Kyung Kim  ;  Jin-Young Kwak  ;  Jae-Kyung Yoo  ;  Hyung-Sik Yoo 
Citation
 IEEE Transactions on Nuclear Science, Vol.49(3) : 827-832, 2002 
Journal Title
 IEEE Transactions on Nuclear Science 
ISSN
 0018-9499 
Issue Date
2002
Keywords
Transform coding ; Mammography ; Image coding ; PSNR ; Image reconstruction ; Biomedical imaging ; Medical diagnostic imaging ; Image storage ; Picture archiving and communication systems ; Image analysis
Abstract
Medical images, such as computed radiography (CR), and digital mammographic images will require large storage facilities and long transmission times for picture archiving and communications system (PACS) implementation. American College of Radiology and National Equipment Manufacturers Association (ACR/NEMA) group is planning to adopt a JPEG2000 compression algorithm in digital imaging and communications in medicine (DICOM) standard to better utilize medical images. The purpose of the study was to evaluate the compression ratios of JPEG2000 for digital mammographic images using peak signal-to-noise ratio (PSNR), receiver operating characteristic (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 to accurately discriminate diseased cases from normal cases is evaluated using 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 analyses suggest as much as 80:1 compression ratio can be achieved without affecting clinical diagnostic performance.
Full Text
https://ieeexplore.ieee.org/document/1039571
DOI
10.1109/TNS.2002.1039571
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kwak, Jin Young(곽진영) ORCID logo https://orcid.org/0000-0002-6212-1495
Kim, Eun-Kyung(김은경) ORCID logo https://orcid.org/0000-0002-3368-5013
You, Jai Kyung(유재경)
Yoo, Hyung Sik(유형식)
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/163568
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