Research Papers: Imaging

Automatic segmentation of anterior segment optical coherence tomography images

[+] Author Affiliations
Dominic Williams

University of Liverpool, School of Engineering, Ocular Biomechanics Group, The Quadrangle, Brownlow Hill, Liverpool L69 3GH, United Kingdom

University of Liverpool, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, Department of Eye and Vision Science, 3rd Floor, UCD Building, Daulby Street, Liverpool L69 3GA, United Kingdom

Yalin Zheng

University of Liverpool, Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, Department of Eye and Vision Science, 3rd Floor, UCD Building, Daulby Street, Liverpool L69 3GA, United Kingdom

Fangjun Bao

Wenzhou Medical College, School of Optometry and Ophthalmology and Eye Hospital, No. 270, Xueyuanxi Road, Wenzhou, Zhejiang 325027, China

Ahmed Elsheikh

University of Liverpool, School of Engineering, Ocular Biomechanics Group, The Quadrangle, Brownlow Hill, Liverpool L69 3GH, United Kingdom

J. Biomed. Opt. 18(5), 056003 (May 02, 2013). doi:10.1117/1.JBO.18.5.056003
History: Received December 21, 2012; Revised March 21, 2013; Accepted April 8, 2013
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Abstract.  Optical coherence tomography (OCT) images can provide quantitative measurements of the eye’s entire anterior segment. A new technique founded on a newly proposed level set-based shape prior segmentation model has been developed for automatic segmentation of the cornea’s anterior and posterior boundaries. This technique comprises three major steps: removal of regions containing irrelevant structures and artifacts, estimation of the cornea’s location using a thresholding technique, and application of the new level set-based shape prior segmentation model to improve segmentation. The performance of our technique is compared to previously developed methods for analysis of the cornea in 33 OCT images of normal eyes, whereby manual annotations are used as a reference standard. The new technique achieves much improved concordance than previous methods, with a mean Dice’s similarity coefficient of >0.92. This demonstrates the technique’s potential to provide accurate and reliable measurements of the anterior segment geometry, which is important for many applications, including the construction of representative numerical simulations of the eye’s mechanical behavior.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Dominic Williams ; Yalin Zheng ; Fangjun Bao and Ahmed Elsheikh
"Automatic segmentation of anterior segment optical coherence tomography images", J. Biomed. Opt. 18(5), 056003 (May 02, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.5.056003


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