Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes

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• 作者：Mohammad Saleh Miri^a ; ^d ; ^{mohammadsaleh-miri@uiowa.edu} ; Victor A. Robles^a ; ^d ; Michael D. Abrà ; moff^c ; ^a ; ^b ; ^d ; Young H. Kwon^c ; Mona K. Garvin^d ; ^a ; ^{mona-garvin@uiowa.edu}
• 关键词：SD-OCT ; Fundus ; Multimodal segmentation ; Ophthalmology ; Segmentation ; Optic nerve head ; Internal limiting membrane ; Graph-based segmentation ; Gradient vector flow
• 刊名：Computerized Medical Imaging and Graphics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：55
• 期：Complete
• 页码：87-94
• 全文大小：1681 K
• 卷排序：55

文摘

We present a multimodal approach for segmenting the surface of the optic nerve head. A graph-based approach is extended to utilize gradient-vector-flow-based columns. Issues related to the presence of blood vessels and deep cups are overcome. The approach will enable more accurate computation of glaucomatous measures.