Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

• URL: http://arxiv.org/abs/2006.05179v1
• Date: Tue, 9 Jun 2020 10:56:50 GMT
• Title: Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
• Authors: Jinkui Hao, Huazhu Fu, Yanwu Xu, Yan Hu, Fei Li, Xiulan Zhang, Jiang Liu, Yitian Zhao
• Abstract summary: We propose a novel framework for reconstruction and quantification of 3D iris surface from AS- OCT imagery. We consider it to be the first work to detect angle-closure glaucoma by means of 3D representation. We show that 3D-based representation achieves better performance in angle-closure glaucoma detection than does 2D-based feature.
• Score: 42.797124360552715
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Precise characterization and analysis of iris shape from Anterior Segment OCT (AS-OCT) are of great importance in facilitating diagnosis of angle-closure-related diseases. Existing methods focus solely on analyzing structural properties identified from the 2D slice, while accurate characterization of morphological changes of iris shape in 3D AS-OCT may be able to reveal in addition the risk of disease progression. In this paper, we propose a novel framework for reconstruction and quantification of 3D iris surface from AS-OCT imagery. We consider it to be the first work to detect angle-closure glaucoma by means of 3D representation. An iris segmentation network with wavelet refinement block (WRB) is first proposed to generate the initial shape of the iris from single AS-OCT slice. The 3D iris surface is then reconstructed using a guided optimization method with Poisson-disk sampling. Finally, a set of surface-based features are extracted, which are used in detecting of angle-closure glaucoma. Experimental results demonstrate that our method is highly effective in iris segmentation and surface reconstruction. Moreover, we show that 3D-based representation achieves better performance in angle-closure glaucoma detection than does 2D-based feature.

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