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Journal of Medical Imaging

Automated and simultaneous fovea center localization and macula segmentation using the new dynamic identification and classification of edges model
Author(s): Sinan Onal; Xin Chen; Veeresh Satamraju; Maduka Balasooriya; Humeyra Dabil-Karacal
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Paper Abstract

Detecting the position of retinal structures, including the fovea center and macula, in retinal images plays a key role in diagnosing eye diseases such as optic nerve hypoplasia, amblyopia, diabetic retinopathy, and macular edema. However, current detection methods are unreliable for infants or certain ethnic populations. Thus, a methodology is proposed here that may be useful for infants and across ethnicities that automatically localizes the fovea center and segments the macula on digital fundus images. First, dark structures and bright artifacts are removed from the input image using preprocessing operations, and the resulting image is transformed to polar space. Second, the fovea center is identified, and the macula region is segmented using the proposed dynamic identification and classification of edges (DICE) model. The performance of the method was evaluated using 1200 fundus images obtained from the relatively large, diverse, and publicly available Messidor database. In 96.1% of these 1200 cases, the distance between the fovea center identified manually by ophthalmologists and automatically using the proposed method remained within 0 to 8 pixels. The dice similarity index comparing the manually obtained results with those of the model for macula segmentation was 96.12% for these 1200 cases. Thus, the proposed method displayed a high degree of accuracy. The methodology using the DICE model is unique and advantageous over previously reported methods because it simultaneously determines the fovea center and segments the macula region without using any structural information, such as optic disc or blood vessel location, and it may prove useful for all populations, including infants.

Paper Details

Date Published: 12 September 2016
PDF: 8 pages
J. Med. Imag. 3(3) 034002 doi: 10.1117/1.JMI.3.3.034002
Published in: Journal of Medical Imaging Volume 3, Issue 3
Show Author Affiliations
Sinan Onal, Southern Illinois Univ. Edwardsville (United States)
Xin Chen, Southern Illinois Univ. Edwardsville (United States)
Veeresh Satamraju, Southern Illinois Univ. Edwardsville (United States)
Maduka Balasooriya, Southern Illinois Univ. Edwardsville (United States)
Humeyra Dabil-Karacal, Washington Univ. School of Medicine in St. Louis (United States)


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