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Automated Image Analysis of Hodgkin Lymphoma

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posted on 2013-10-24, 13:29 authored by Tim SchäferTim Schäfer, Hendrik Schäfer, Norbert Dichter, Claudia Döring, Jörg Ackermann, Sylvia Hartmann, Martin-Leo Hansmann, Ina Koch

Hodgkin lymphoma is an unusual type of lymphoma, arising from malignant B-cells. Morphological and immunohistochemical features
of malignant cells and their distribution differ from other cancer types. Based on systematic tissue image analysis, computer-aided exploration
can provide new insights into Hodgkin lymphoma pathology.

Here, we report results from an image analysis of CD30 immunostained classical Hodgkin lymphoma (cHL) tissue section images. We have imple-
mented an automatic procedure to handle and explore image data in Aperio's SVS format. We use pre-processing approaches to separate the image
objects from the background, then select regions of interest and split the large images into tiles. Then, we use a CellProfiler pipeline to detect primary objects. Therefore, the images are split into their color stains using a color deconvolution approach. By setting a threshold in the CD30 stain image we identify CD30 positive cells and compute their shape descriptors. We label the cells based on size, elongation and compactness. We present results for a small set of nodular sclerosis, mixed type and non-lymphoma images.