OPTICAL NERVE SEGMENTATION USING THE ACTIVE SHAPE METHOD

The paper deals with the segmentation procedure for optical nerve localization and the consequent determination of geometrical parameters such as optical nerve area, radius and diameter. An extraction of these geometrical parameters is especially important for clinical practice particularly in the case where retinal lesions are present. On the base of the optical nerve extraction, we are capable of comparing it with area of retinal lesions. Via this approach it is possible to track time evaluation of retinal lesions. The proposed algorithm for segmentation of optical nerve area is performed within two main steps. In the first step, the active contour method is used specially for the localization of the optical nerve. This part of the algorithm generates mathematical model of the optical nerve in binary form. Consequently, on the base of this mathematical model of the optical nerve respective geometrical parameters are worked out for future comparison with retinal lesions. Image preprocessing is an integral part of the segmentation procedure, improving the observability of the optical nerve to ensure as relevant detection of the optical nerve as possible.

[1]  Iveta Bryjova,et al.  Articular Cartilage Defect Detection Based on Image Segmentation with Colour Mapping , 2014, ICCCI.

[2]  Majid Mirmehdi,et al.  Comparison of colour spaces for optic disc localisation in retinal images , 2002, Object recognition supported by user interaction for service robots.

[3]  Ghassan Hamarneh,et al.  Towards Intelligent Deformable Models for Medical Image Analysis , 2001 .

[4]  Allen Foster,et al.  Childhood blindness , 1988, Eye.

[5]  M. Penhaker,et al.  Global Courseware for Visualization and Processing Biosignals , 2009 .

[6]  Jan Kubicek,et al.  Optical Nerve Disc Segmentation Using Circual Integro Differencial Operator , 2016 .

[7]  Václav Snásel,et al.  Biomedical Distributed Signal Processing and Analysis , 2013, CISIM.

[8]  C. Gilbert Retinopathy of prematurity: a global perspective of the epidemics, population of babies at risk and implications for control. , 2008, Early human development.

[9]  Viney Gupta,et al.  Post-strabismus surgery aqueous misdirection syndrome , 2015, BMJ Case Reports.

[10]  M. Penhaker,et al.  Automatic Ranking of Eye Movement in Electrooculographic Records , 2010 .

[11]  Michael H. Goldbaum,et al.  Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels , 2003, IEEE Transactions on Medical Imaging.

[12]  Richard P. Wildes,et al.  Reliable and fast eye finding in close-up images , 2002, Object recognition supported by user interaction for service robots.

[13]  M. Penhaker,et al.  Using Frequency Analysis of Vibration for Detection of Epileptic Seizure , 2009 .