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Offset-sparsity decomposition for automated enhancement of color microscopic image of stained specimen in histopathology

Kopriva, Ivica; Popović Hadžija, Marijana; Hadžija, Mirko; Aralica, Gorana (2015) Offset-sparsity decomposition for automated enhancement of color microscopic image of stained specimen in histopathology. Journal of Biomedical Optics, 20 (7). 076012-1. ISSN 1083-3668

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Abstract

We propose an offset-sparsity decomposition (OSD) method for the enhancement of a color microscopic image of a stained specimen. The method decomposes vectorized spectral images into offset terms and sparse terms. A sparse term represents an enhanced image, and an offset term represents a “shadow.” The related optimization problem is solved by computational improvement of the accelerated proximal gradient method used initially to solve the related rank-sparsity decomposition problem. Removal of an image-adapted color offset yields an enhanced image with improved colorimetric differences among the histological structures. This is verified by a no-reference colorfulness measure estimated from 35 specimens of the human liver and 1 specimen of the mouse liver stained with hematoxylin and eosin, 6 specimens of the mouse liver stained with Sudan III, and 3 specimens of the human liver stained with the anti-CD34 monoclonal antibody. The colorimetric difference improves on average by 43.86% with a 99% confidence interval (CI) of [35.35%, 51.62%]. Furthermore, according to the mean opinion score, estimated on the basis of the evaluations of five pathologists, images enhanced by the proposed method exhibit an average quality improvement of 16.60% with a 99% CI of [10.46%, 22.73%].

Item Type: Article
Additional Information: Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Uncontrolled Keywords: color microscopic image enhancement; offset removal; fast proximal gradient; histopathology
Subjects: NATURAL SCIENCES > Mathematics > Applied Mathematics and Mathematical Modeling
TECHNICAL SCIENCES > Computing
BIOMEDICINE AND HEALTHCARE > Clinical Medical Sciences
Divisions: Division of Laser and Atomic Research and Development
Division of Molecular Medicine
Projects:
Project titleProject leaderProject codeProject type
Analiza nelinearnih komponenata s primjenama u kemometriji i patologijiUNSPECIFIEDIS-9.01/232HRZZ
Depositing User: Ivica Kopriva
Date Deposited: 13 Nov 2015 15:06
Last Modified: 13 Nov 2015 15:06
URI: http://fulir.irb.hr/id/eprint/2270
DOI: 10.1117/1.JBO.20.7.076012

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