Automated detection of choroid boundary and vessels in optical coherence tomography images

N, Srinath and Patil, V and Kumar, V K and Jana, Soumya and Chhablani, J and Richhariya, A (2014) Automated detection of choroid boundary and vessels in optical coherence tomography images. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, 26-30 August 2014, Chicago; United States.

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Structural changes in the choroid, a layer located between the retina and sclera, could indicate various vision impairments. Consequently, ophthalmologists inspect optical coherence tomography (OCT) scans of the posterior section of the eye towards making diagnosis. With a view to assist diagnosis, we propose an automated technique for segmentation of the choroid layer. Specifically, we detect the upper and lower boundaries of the choroid using structural similarity and adaptive Hessian analysis. Subsequently, we detect choroid vessels within those boundaries using a level set method. Experimental results are presented using spectral domain (SD) OCT images.

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IITH Creators:
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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: biomedical optical imaging, blood vessels, edge detection, eye, image segmentation, medical image processing, optical tomography, vision defects,
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 05 Jun 2015 07:39
Last Modified: 12 Sep 2017 10:39
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