Consistency and Standardization of Color in Medical Imaging: a Consensus Report

Badano, Aldo; Revie, Craig; Casertano, Andrew; Cheng, Wei‐Chung; Green, Phil J.; Kimpe, Tom; Krupiński, Elizabeth A.; Sisson, Christye P.; Skrøvseth, Stein Olav; Treanor, Darren; Boynton, Paul A.; Clunie, David A.; Flynn, Michael J.; Heki, Tatsuo; Hewitt, Stephen M.; Homma, Hiroyuki; Masia, Andy; Matsui, Takashi; Nagy, Balázs Vince; Nishibori, Masahiro; Penczek, John; Schopf, Thomas R.; Yagi, Yukako; Yokoi, Hideto

doi:10.1007/s10278-014-9721-0

Cited by 86 publications

(68 citation statements)

References 20 publications

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“…8 However some groups, including the International Color Consortium, are filling the void and addressing the challenging issue of display and color calibration. [16][17][18] • Slide preparation.…”

Section: Resultsmentioning

confidence: 99%

Evaluation environment for digital and analog pathology: a platform for validation studies

et al. 2014

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Abstract. We present a platform for designing and executing studies that compare pathologists interpreting histopathology of whole slide images (WSIs) on a computer display to pathologists interpreting glass slides on an optical microscope. eeDAP is an evaluation environment for digital and analog pathology. The key element in eeDAP is the registration of the WSI to the glass slide. Registration is accomplished through computer control of the microscope stage and a camera mounted on the microscope that acquires real-time images of the microscope field of view (FOV). Registration allows for the evaluation of the same regions of interest (ROIs) in both domains. This can reduce or eliminate disagreements that arise from pathologists interpreting different areas and focuses on the comparison of image quality. We reduced the pathologist interpretation area from an entire glass slide (10 to 30 mm 2 ) to small ROIs (<50 μm 2 ). We also made possible the evaluation of individual cells. We summarize eeDAP's software and hardware and provide calculations and corresponding images of the microscope FOV and the ROIs extracted from the WSIs. The eeDAP software can be downloaded from the Google code website (project: eeDAP) as a MATLAB source or as a precompiled stand-alone license-free application. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Resultsmentioning

confidence: 99%

Evaluation environment for digital and analog pathology: a platform for validation studies

et al. 2014

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“…This has implications for the use of image analysis in digital pathology—care must be taken to ensure that intensity measurements are repeatable between devices and over time. This problem of variation of colour in virtual slides is being increasingly recognised, with a recent International Colour Consortium Summit on medical imaging,9 and efforts are underway to develop standards for calibration of virtual slide scanners to address it 10…”

Section: Discussionmentioning

confidence: 99%

Quantification of histochemical stains using whole slide imaging: development of a method and demonstration of its usefulness in laboratory quality control

et al. 2014

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“…There have been several discussions to address the underlying causes of the color variations in digital slides [31][32][33]. The staining correction we presented in this paper can be used in conjunction with the color calibration slide proposed in [29].…”

Section: Discussionmentioning

confidence: 99%

Staining Correction in Digital Pathology by Utilizing a Dye Amount Table

Bautista

Yagi

2015

J Digit Imaging

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The stained colors of the tissue components are popularly used as features for image analysis. However, variations in the staining condition of the histology slides prompt variations to the color distribution of the stained tissue samples which could impact the accuracy of the analysis. In this paper, we present a method to correct the staining condition of a histology image. In the method, a look-up table (LUT) based on the dye amounts absorbed by the sample is built. The LUT can be built when either (i) the source and reference staining conditions are specified or (ii) when the user simply wants to recreate his/her preferred staining condition without specifying any reference slide. The effectiveness of the present method was evaluated in two aspects: (i) CIELAB color difference of nuclei, cytoplasm, and red blood cells, between the ten different slides of liver tissue, and (ii) classification of the different tissue components. Application of the present staining correction method reduced the color difference between the slides by an average factor of 9.8 and the classification performance of a linear discriminant classifier improved by 16.5 % on the average. Results of the paired t test statistical analysis further showed that the reduction in the CIELAB color difference between the slides and the improvement in the classifier's performance when staining correction was implemented is significant at p<0.001.

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Consistency and Standardization of Color in Medical Imaging: a Consensus Report

Cited by 86 publications

References 20 publications

Evaluation environment for digital and analog pathology: a platform for validation studies

Evaluation environment for digital and analog pathology: a platform for validation studies

Quantification of histochemical stains using whole slide imaging: development of a method and demonstration of its usefulness in laboratory quality control

Staining Correction in Digital Pathology by Utilizing a Dye Amount Table

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