Modeling human-perceived quality for the assessment of digitized histopathology color standardization

Clara Mosquera-Lopez, Rodrigo Escobar, Sos Agaian

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

3 Scopus citations

Abstract

Color consistency is still one of the most significant problems in whole-slide imaging since even subtle variations of color appearance in digitized slides might cause image misinterpretation by pathologists or by computer-aided diagnosis systems. These variations are mainly caused by differences in laboratory protocols and imaging devices manufactures. In this paper we propose a model for assessing color standardization algorithms in whole-slide histopathology imaging based on two metrics: (i) the color similarity between a template well-stained image and the resulting color-standardized image, and (ii) the structural distortion caused by the application of a color standardization algorithm. We employed the χ2 histogram distance as color distance measure, and the Universal Quality (Q) index for quantifying structural distortion. The developed model produce an overall quality score (OQS) in the range [0, 10] that correlates well with human-perceived color standardization quality. To the best of our knowledge, this is the first attempt to measure the efficacy of color standardization algorithms in digital pathology.

Original languageEnglish (US)
Title of host publicationIST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986330
DOIs
StatePublished - Oct 7 2015
Externally publishedYes
Event12th IEEE International Conference on Imaging Systems and Techniques, IST 2015 - Macau, China
Duration: Sep 16 2015Sep 18 2015

Publication series

NameIST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference12th IEEE International Conference on Imaging Systems and Techniques, IST 2015
CountryChina
CityMacau
Period9/16/159/18/15

Keywords

  • Color standardization quality
  • computer-aided diagnosis (CAD)
  • digital pathology
  • histopathology image analysis
  • whole-slide imaging

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation

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