Conference paper
Detection and classification of parasite eggs for use in helminthic therapy
Eggs from the small, intestinal pig whipworm Trichuris suis constitute the active pharmaceutical ingredient in a novel type of medicine for chronic autoimmune diseases like Crohn's disease. The pharmaceutical potency of such an egg suspension can be assessed by microscopic inspection, as only eggs containing a viable, infective larva provoke the wanted immune reaction.
Thus, a precise and objective estimate of the concentration of infective eggs is crucial for dosing the new medicine. In this paper, a vision-based method for detecting and classifying T. suis parasite eggs is described. The detection is based on matched filters and the classification is done using linear and quadratic discriminant analysis on a set of biologically inspired features, including the autocorrelation-based longitudinal anisotropy and the mean scattering intensity under dark field illumination.
Despite the presence of impurities and overlapping eggs, the proposed method achieves cross-validated classification rates around 93%.
Language: | English |
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Publisher: | IEEE |
Year: | 2012 |
Pages: | 1627-1630 |
Proceedings: | 2012 IEEE International Symposium on Biomedical Imaging |
ISBN: | 145771857X , 145771857x , 9781457718571 , 1457718561 , 1457718588 , 9781457718564 and 9781457718588 |
ISSN: | 19458452 and 19457928 |
Types: | Conference paper |
DOI: | 10.1109/ISBI.2012.6235888 |
ORCIDs: | Carstensen, Jens Michael |
Anisotropic magnetoresistance Crohn disease Diseases Feature extraction Humans Impurities Microscopy Scattering Trichuris suis Trichuris suis eggs active pharmaceutical ingredient autocorrelation based longitudinal anisotropy biologically inspired features biomedical optical imaging chronic autoimmune diseases dark field illumination egg suspension elliptic filters helminthic therapy infective larva intestinal pig whipworm linear discriminant analysis longitudinal anisotropy matched filters mean scattering intensity medical image processing microorganisms microscopic inspection optical microscopy parasite egg classification parasite egg detection patient treatment quadratic discriminant analysis vision based method