Storage, transmission, and retrieval of digital mammography, including recommendations on image compression.

This paper on digital mammography image storage, retrieval, and transmission is 1 of 3 papers written as part of an intersociety effort to establish image quality standards for digital mammography. The information included in this paper is intended to support the development of an American College of Radiology (ACR) guideline on image quality for digital mammography. The topics of the other 2 papers are digital mammography image acquisition and digital mammography image display. The societies that were represented in compiling this document were the Radiological Society of North America, the ACR, the American Association of Physicists in Medicine, and the Society for Computer Applications in Radiology. These papers describe in detail what is known to improve image quality for digital mammography and make recommendations about how digital mammography should be performed to optimize the visualization of breast cancers using this imaging tool. Through the publication of these papers, the ACR is seeking input from industry, radiologists, and other interested parties on their contents so that the final ACR guideline for digital mammography will represent the consensus of the broader community interested in these topics.

[1]  Sankararaman Suryanarayanan,et al.  A Perceptual Evaluation of JPEG 2000 Image Compression for Digital Mammography: Contrast-Detail Characteristics , 2004, Journal of Digital Imaging.

[2]  C. D'Orsi,et al.  Detection of simulated lesions on data-compressed digital mammograms. , 2005, Radiology.

[3]  A. Burgess,et al.  Human observer detection experiments with mammograms and power-law noise. , 2001, Medical physics.

[4]  William Vennart,et al.  ICRU Report 54: Medical imaging—the assessment of image quality: ISBN 0-913394-53-X. April 1996, Maryland, U.S.A. , 1997 .

[5]  David Schreiber.  Swelling archives warrant closer look at compression. , 2003, Radiology management.

[6]  P K Kijewski,et al.  Effects of lossy compression on lesion detection: predictions of the nonprewhitening matched filter. , 1998, Medical physics.

[7]  William A. Pearlman,et al.  Region-based wavelet coding methods for digital mammography , 2003, IEEE Transactions on Medical Imaging.

[8]  W F Good,et al.  Detection of masses and clustered microcalcifications on data compressed mammograms: an observer performance study. , 2000, AJR. American journal of roentgenology.

[9]  E. Likaki,et al.  Visually lossless threshold determination for microcalcification detection in wavelet compressed mammograms , 2003, European Radiology.

[10]  Susan S. Young,et al.  JPEG 2000 compression of medical imagery , 2000, Medical Imaging.

[11]  David A. Clunie,et al.  Designing and implementing a PACS-aware DICOM image object for digital x-ray, mammography, and intraoral applications , 1999, Medical Imaging.

[12]  Laurie L Fajardo,et al.  Free-response receiver operating characteristic evaluation of lossy JPEG2000 and object-based set partitioning in hierarchical trees compression of digitized mammograms. , 2005, Radiology.

[13]  K L Lam,et al.  Image compression in digital mammography: effects on computerized detection of subtle microcalcifications. , 1996, Medical physics.