Paper
28 February 2013 Automatic conjunctival provocation test combining Hough circle transform and self-calibrated color measurements
Suman Raj Bista, István Sárándi, Serkan Dogan, Anatoli Astvatsatourov, Ralph Mösges, Thomas M. Deserno
Author Affiliations +
Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86702J (2013) https://doi.org/10.1117/12.2007821
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Computer-aided diagnosis is developed for assessment of allergic rhinitis/rhinoconjunctivitis measuring the relative redness of sclera under application of allergen solution. Images of the patient's eye are taken using a 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 anatomy-based apriori 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 98 images taken from 14 subjects, 8 responders and 6 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 relative redness of 1.01, 1.05, 1.30 and 0.95, 1.00, 0.96 for responders and non-responders, respectively. Variations in redness measurements were analyzed according to alteration of parameters of the image processing chain proving stability and robustness of our approach. The results indicate that the method improves visual inspection and may be suitable as reliable surrogate endpoint in controlled clinical trials.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suman Raj Bista, István Sárándi, Serkan Dogan, Anatoli Astvatsatourov, Ralph Mösges, and Thomas M. Deserno "Automatic conjunctival provocation test combining Hough circle transform and self-calibrated color measurements", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86702J (28 February 2013); https://doi.org/10.1117/12.2007821
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Cited by 4 scholarly publications.
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KEYWORDS
Sclera

Image segmentation

Image processing

Eye

Iris recognition

Hough transforms

Calibration

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