Detection of follicular regions in actin-stained whole slide images of the human lymph node by shock filter

Author:

Wurzel Patrick12ORCID,Ackermann Jörg1,Schäfer Hendrik3,Scharf Sonja12,Hansmann Martin-Leo2,Koch Ina1

Affiliation:

1. Goethe-Universität Frankfurt am Main , Molecular Bioinformatics, Institute of Computer Science, Robert-Mayer-Str. 11-15 , 60325 Frankfurt am Main , Germany

2. Frankfurt Institute for Advanced Studies , Ruth-Moufang-Straße 1 , 60438 Frankfurt am Main , Germany

3. Hospital of the Goethe University Frankfurt , Theodor-Stern-Kai 7 , 60590 Frankfurt am Main , Germany

Abstract

Abstract Human lymph nodes play a central part of immune defense against infection agents and tumor cells. Lymphoid follicles are compartments of the lymph node which are spherical, mainly filled with B cells. B cells are cellular components of the adaptive immune systems. In the course of a specific immune response, lymphoid follicles pass different morphological differentiation stages. The morphology and the spatial distribution of lymphoid follicles can be sometimes associated to a particular causative agent and development stage of a disease. We report our new approach for the automatic detection of follicular regions in histological whole slide images of tissue sections immuno-stained with actin. The method is divided in two phases: (1) shock filter-based detection of transition points and (2) segmentation of follicular regions. Follicular regions in 10 whole slide images were manually annotated by visual inspection, and sample surveys were conducted by an expert pathologist. The results of our method were validated by comparing with the manual annotation. On average, we could achieve a Zijbendos similarity index of 0.71, with a standard deviation of 0.07.

Funder

Wilhelm Sander-Stiftung

Bundesministerium für Bildung und Forschung

Publisher

Walter de Gruyter GmbH

Subject

Clinical Biochemistry,Molecular Biology,Biochemistry

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