An Automated Algorithm for Blood Vessel Count and Area Measurement in 2-D Choroidal Scan Images

Mahajan, N R and Donapati, R C R and Channappayya, S S and Vanjari, Siva Rama Krishna and Richhariya, A and Chhablani, J (2013) An Automated Algorithm for Blood Vessel Count and Area Measurement in 2-D Choroidal Scan Images. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, 3-7, July 2013, Osaka; Japan.

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We present an automated algorithm for the detection of blood vessels in 2-D choroidal scan images followed by a measurement of the area of the vessels. The objective is to identify vessel parameters in the choroidal stroma that are affected by various abnormalities. The algorithm is divided into five stages. In the first stage, the image is denoised to remove sensor noise and facilitate further processing. In the second stage, the image is segmented in order to find the region of interest. In the third stage, three different contour detection methods are applied to address different challenges in vessel contour. In the fourth stage, the outputs of the three contour detection methods are combined to achieve refined vessel contour detection. In the fifth and final stage, the area of these contours are measured. The results have been evaluated by a practicing opthalmologist and performance of the algorithm relative to expert detection is reported

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IITH Creators:
IITH CreatorsORCiD
Vanjari, Siva Rama KrishnaUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: area measurement, blood vessels, edge detection, image denoising
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 24 Nov 2014 04:26
Last Modified: 16 Jan 2019 10:49
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