Detection of immunocytological markers in photomicroscopic images

David Friedrich; Joschka zur Jacobsmühlen; Till Braunschweig; André Bell; Kraisorn Chaisaowong; Ruth Knüchel-Clarke; Til Aach

doi:10.1117/12.911796

23 February 2012 Detection of immunocytological markers in photomicroscopic images

David Friedrich, Joschka zur Jacobsmühlen, Till Braunschweig, André Bell, Kraisorn Chaisaowong, Ruth Knüchel-Clarke, Til Aach

Author Affiliations +

Proceedings Volume 8315, Medical Imaging 2012: Computer-Aided Diagnosis; 83153D (2012) https://doi.org/10.1117/12.911796
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Early detection of cervical cancer can be achieved through visual analysis of cell anomalies. The established PAP smear achieves a sensitivity of 50-90%, most false negative results are caused by mistakes in the preparation of the specimen or reader variability in the subjective, visual investigation. Since cervical cancer is caused by human papillomavirus (HPV), the detection of HPV-infected cells opens new perspectives for screening of precancerous abnormalities. Immunocytochemical preparation marks HPV-positive cells in brush smears of the cervix with high sensitivity and specificity. The goal of this work is the automated detection of all marker-positive cells in microscopic images of a sample slide stained with an immunocytochemical marker. A color separation technique is used to estimate the concentrations of the immunocytochemical marker stain as well as of the counterstain used to color the nuclei. Segmentation methods based on Otsu's threshold selection method and Mean Shift are adapted to the task of segmenting marker-positive cells and their nuclei. The best detection performance of single marker-positive cells was achieved with the adapted thresholding method with a sensitivity of 95.9%. The contours differed by a modified Hausdorff Distance (MHD) of 2.8 μm. Nuclei of single marker positive cells were detected with a sensitivity of 95.9% and MHD = 1.02 μ;m.

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David Friedrich, Joschka zur Jacobsmühlen, Till Braunschweig, André Bell, Kraisorn Chaisaowong, Ruth Knüchel-Clarke, and Til Aach "Detection of immunocytological markers in photomicroscopic images", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83153D (23 February 2012); https://doi.org/10.1117/12.911796

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