Literature DB >> 9013829

Color images in telepathology: how many colors do we need?

M H Doolittle1, K W Doolittle, Z Winkelman, D S Weinberg.   

Abstract

It is generally assumed that for telepathology, accurate depiction of microscopic images requires the use of "true color" (ie, 24 bits, eight bits each for red, green, and blue) in the digitized image used for transmission. If such a 24-bit color image file, which provides a palette of 16.7 million colors, could be reduced in size by decreasing the possible numbers of colors displayed in the image to 8 bits (palette of 256 colors), the image files would require less storage space, could be transmitted more rapidly, and would require less telecommunications bandwidth. However, such color reduction must not result in detectable image degradation, especially if the images are to be used for diagnosis. Therefore, we performed a carefully controlled study to determine whether pathologists could detect differences in the quality of microscopic images that were reduced from 24 to 8 bits of color. Thirty pathologists were each asked to view a set of 30 image pairs displayed on a computer monitor. Each image pair consisted of the original 24-bit color version and an 8-bit color-reduced version, derived using an adaptive color reduction algorithm with diffusion dithering. Observers were asked whether they could detect any difference in quality between the image pairs. Then, regardless of their answer, they were asked to choose the better quality image of the pair. Overall, there was not a statistically significant ability to consciously detect differences between the image pairs (P < .750). However, when forced to choose, there was a significant preference for the 8-bit images as being of "better quality" (P < .005). We conclude that telepathology applications may be able to take advantage of adaptive color reduction algorithms to reduce image file size without sacrificing image quality. Additional studies must be performed to determine the minimal image requirements for accurate diagnosis by telepatholgy.

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Year:  1997        PMID: 9013829     DOI: 10.1016/s0046-8177(97)90276-8

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  6 in total

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Authors:  Nihal Fatma Güler; Elif Derya Ubeyli
Journal:  J Med Syst       Date:  2002-06       Impact factor: 4.460

2.  Telepathology for effective healthcare in developing nations.

Authors:  Smita Sankaye; Sushil Kachewar
Journal:  Australas Med J       Date:  2011-11-30

3.  Transcontinental communication and quantitative digital histopathology via the Internet; with special reference to prostate neoplasia.

Authors:  R Montironi; D Thompson; M Scarpelli; H G Bartels; P W Hamilton; V D da Silva; W A Sakr; B Weyn; A van Daele; P H Bartels
Journal:  J Clin Pathol       Date:  2002-06       Impact factor: 3.411

4.  Quantification of virtual slides: Approaches to analysis of content-based image information.

Authors:  Klaus Kayser
Journal:  J Pathol Inform       Date:  2011-01-07

5.  American Telemedicine Association clinical guidelines for telepathology.

Authors:  Liron Pantanowitz; Kim Dickinson; Andrew J Evans; Lewis A Hassell; Walter H Henricks; Jochen K Lennerz; Amanda Lowe; Anil V Parwani; Michael Riben; Col Daniel Smith; J Mark Tuthill; Ronald S Weinstein; David C Wilbur; Elizabeth A Krupinski; Jordana Bernard
Journal:  J Pathol Inform       Date:  2014-10-21

Review 6.  Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists' Future "Microscope".

Authors:  Jacob T Abel; Peter Ouillette; Christopher L Williams; John Blau; Jerome Cheng; Keluo Yao; Winston Y Lee; Toby C Cornish; Ulysses G J Balis; David S McClintock
Journal:  J Pathol Inform       Date:  2020-08-11
  6 in total

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