Structure preserving color deconvolution for immunohistochemistry images

Ting Chen; Chukka Srinivas

doi:10.1117/12.2079893

19 March 2015 Structure preserving color deconvolution for immunohistochemistry images

Ting Chen, Chukka Srinivas

Proceedings Volume 9420, Medical Imaging 2015: Digital Pathology; 942004 (2015) https://doi.org/10.1117/12.2079893
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Immunohistochemistry (IHC) staining is an important technique for the detection of one or more biomarkers within a single tissue section. In digital pathology applications, the correct unmixing of the tissue image into its individual constituent dyes for each biomarker is a prerequisite for accurate detection and identification of the underlying cellular structures. A popular technique thus far is the color deconvolution method¹ proposed by Ruifrok et al. However, Ruifrok's method independently estimates the individual dye contributions at each pixel which potentially leads to “holes and cracks” in the cells in the unmixed images. This is clearly inadequate since strong spatial dependencies exist in the tissue images which contain rich cellular structures. In this paper, we formulate the unmixing algorithm into a least-square framework of image patches, and propose a novel color deconvolution method which explicitly incorporates the spatial smoothness and structure continuity constraint into a neighborhood graph regularizer. An analytical closed-form solution to the cost function is derived for this algorithm for fast implementation. The algorithm is evaluated on a clinical data set containing a number of 3,3-Diaminobenzidine (DAB) and hematoxylin (HTX) stained IHC slides and demonstrates better unmixing results than the existing strategy.

Citation Download Citation

Ting Chen and Chukka Srinivas "Structure preserving color deconvolution for immunohistochemistry images", Proc. SPIE 9420, Medical Imaging 2015: Digital Pathology, 942004 (19 March 2015); https://doi.org/10.1117/12.2079893

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