Visually lossless compression of breast biopsy virtual slides for telepathology

Jeffrey P. Johnson, Elizabeth A. Krupinski, John S. Nafziger, Michelle Yan, Hans Roehrig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

A major issue in telepathology is the extreme size of digitized slides, which require several gigabytes of storage and cause significant delays in image delivery to pathologists. We investigated the utility of a visual discrimination model (VDM) to predict bit rates for visually lossless JPEG2000 compression of breast biopsy virtual slides. Visually lossless bit rates were determined experimentally with human observers. VDM metrics computed for those bit rates were nearly constant, suggesting that VDMs could be used to achieve visually lossless image quality while providing about four times the data reduction of reversible compression.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2009
Subtitle of host publicationImage Perception, Observer Performance, and Technology Assessment
DOIs
StatePublished - Jun 22 2009
EventMedical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment - Lake Buena Vista, FL, United States
Duration: Feb 11 2009Feb 12 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7263
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CityLake Buena Vista, FL
Period2/11/092/12/09

Keywords

  • Compression
  • Telepathology
  • Visual discrimination model
  • Visually lossless

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Johnson, J. P., Krupinski, E. A., Nafziger, J. S., Yan, M., & Roehrig, H. (2009). Visually lossless compression of breast biopsy virtual slides for telepathology. In Medical Imaging 2009: Image Perception, Observer Performance, and Technology Assessment [72630N] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7263). https://doi.org/10.1117/12.813786