Research Papers: Imaging

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

[+] Author Affiliations
Ivica Kopriva

Ruđer Bošković Institute, Division of Laser and Atomic R&D, Bijenicka cesta 54, Zagreb 10002, Croatia

Marijana Popović Hadžija, Mirko Hadžija

Ruđer Bošković Institute, Division of Molecular Medicine, Bijenicka cesta 54, Zagreb 10002, Croatia

Gorana Aralica

Clinical Hospital Dubrava, Department of Pathology and Cytology, Avenija Gojka Šuška 6, Zagreb 10000, Croatia

University of Zagreb, School of Medicine, Šalata 3, Zagreb 10000, Croatia

J. Biomed. Opt. 20(7), 076012 (Jul 28, 2015). doi:10.1117/1.JBO.20.7.076012
History: Received January 21, 2015; Accepted June 23, 2015
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Abstract.  We propose an offset-sparsity decomposition 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, 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%].

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Ivica Kopriva ; Marijana Popović Hadžija ; Mirko Hadžija and Gorana Aralica
"Offset-sparsity decomposition for automated enhancement of color microscopic image of stained specimen in histopathology", J. Biomed. Opt. 20(7), 076012 (Jul 28, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.7.076012


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