TY - GEN
T1 - Automatic segmentation of PPA in retinal images
AU - Li, Hanxiang
AU - Kang, Jieliang
AU - Feng, Yunlong
AU - Xu, Jie
AU - Li, Huiqi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - Parapapillary atrophy (PPA) is a crescent atrophic abnormality adjacent to optic disc (OD), which lies in retinal pigment epithelium, photoreceptor and laminae choriocapillaris. Clinically, PPA is an indicator for clinical or computer aided diagnosis of pathologies of eyes, such as myopia and glaucoma. In this paper, an algorithm is proposed in order to automatically segment PPA from retinal images. Firstly, evenly-oriented radial line segments were used to detect the candidate boundary points of OD and augmented-OD (A-OD, which indicates the region that combines PPA and OD). Then, to obtain smooth, non-discrete boundaries of A-OD and OD, those points are fitted to ellipses by the least square method. Finally, the boundary of PPA is obtained after finding the non-overlapping part of these two boundaries. The algorithm needs the coordinate of the center of OD and its approximate radius as inputs, with assurance that input retinal image contains PPA. Experimental results based on 100 retinal images tested show that the average F-score of this algorithm reaches 0.67.
AB - Parapapillary atrophy (PPA) is a crescent atrophic abnormality adjacent to optic disc (OD), which lies in retinal pigment epithelium, photoreceptor and laminae choriocapillaris. Clinically, PPA is an indicator for clinical or computer aided diagnosis of pathologies of eyes, such as myopia and glaucoma. In this paper, an algorithm is proposed in order to automatically segment PPA from retinal images. Firstly, evenly-oriented radial line segments were used to detect the candidate boundary points of OD and augmented-OD (A-OD, which indicates the region that combines PPA and OD). Then, to obtain smooth, non-discrete boundaries of A-OD and OD, those points are fitted to ellipses by the least square method. Finally, the boundary of PPA is obtained after finding the non-overlapping part of these two boundaries. The algorithm needs the coordinate of the center of OD and its approximate radius as inputs, with assurance that input retinal image contains PPA. Experimental results based on 100 retinal images tested show that the average F-score of this algorithm reaches 0.67.
KW - parapapillary atrophy
KW - segmentation
UR - http://www.scopus.com/inward/record.url?scp=85050165032&partnerID=8YFLogxK
U2 - 10.1109/ICIEA.2018.8397999
DO - 10.1109/ICIEA.2018.8397999
M3 - Conference contribution
AN - SCOPUS:85050165032
T3 - Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
SP - 1791
EP - 1796
BT - Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Y2 - 31 May 2018 through 2 June 2018
ER -
