Automatic Conjunctival Provocation Test Using Hough Transform of Extended Canny Edge Maps
Computer-aided diagnosis is developed for assessment of allergic rhinitis/rhinoconjunctivitis measuring the relative redness of sclera under application of allergen solution. The patient’s eye images are taken from commercial digital camera. The iris is robustly localized using a gradient-based Hough circle transform. From the center of the pupil, the region of interest within the sclera is extracted using geometric anatomybased a-priori information. The red color pixels are extracted thresholding in the hue, saturation and value color space. Then, redness is measured by taking mean of saturation projected into zero hue. Evaluation is performed with 92 images taken from 13 subjects, 8 responders and 5 non-responders, which were classified according to an experienced otorhinolaryngologist. Provocation is performed with 100, 1,000 and 10,000 AU/ml allergic solution and normalized to control images without provocation. The evaluation yields redness of 1.14, 1.30, 1.60 and 1.04, 1.12, 1.11 for responders and non-responders, respectively. This indicates that our method is suitable as reliable endpoint in controlled clinical trials.
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- Ait-Khaled N, Pearce N, Anderson H, et al. Global map of the prevalence of symptoms of rhinoconjunctivitis in children-the international study of asthma and allergies in childhood (ISAAC) Phase Three. Allergy. 2009;64(1):122–48.Google Scholar
- Mösges R, Klimek L. Today’s allergic rhinitis patients are different: new factors that may play a role. Allergy. 2007;62(9):969–75.Google Scholar
- Riechelmann H, Epple B, Gropper G. Comparison of conjunctival and nasal provocation test in allergic rhinitis to house dust mite. Int Arch Allergy Immunol. 2003;130(1):51–9.Google Scholar
- Kaupp A, Lehmann T, Effert R, et al. Automatic measurement of the angle of squint by Hough-transformation and covariance-filtering. Proc IAPR Int Conf Pattern Recogn. 1994;1:784–6.Google Scholar
- Lehmann TM, Gönner C, Spitzer K. Addendum: B-spline interpolation in medical image processing. IEEE Trans Med Imaging. 2001;20(7):660–5.Google Scholar