Automated analysis of retinal vascular network connectivity

被引：19

作者：

Al-Diri, Bashir ^{[1
]}

Hunter, Andrew ^{[1
]}

Steel, David ^{[2
]}

Habib, Maged ^{[2
]}

机构：

[1] Lincoln Univ, Lincoln Sch Comp Sci, Lincoln, England

[2] Sunderland Eye Infirm, Sunderland, Tyne & Wear, England

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2010年 / 34卷 / 06期

关键词：

Self organized feature maps; Retinal vascular segmentation; Retinal vessel graph; Junction resolution; Connectivity of segmented retinal vessels; Overlapping segments; DIABETIC-RETINOPATHY; VESSEL SEGMENTATION; ARTERIAL; BIFURCATIONS; PRINCIPLE; DIAMETER; DISEASE; IMAGES;

D O I：

10.1016/j.compmedimag.2009.12.013

中图分类号：

R318 [生物医学工程];

学科分类号：

100103 [病原生物学];

摘要：

This paper describes an algorithm that forms a retinal vessel graph by analysing the potential connectivity of segmented retinal vessels. Self organizing feature maps (SOFMs) are used to model implicit cost functions for the junction geometry. The algorithm uses these cost functions to resolve the configuration of local sets of segment ends, thus determining the network connectivity. The system includes specialized algorithms to handle overlapping vessels. The algorithm is tested on junctions drawn from the public-domain DRIVE database. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：462 / 470

页数：9

共 29 条

[1]

Al-Diri B, 2008, IEEE INT C BIOINF BI, P847

[2]

An Active Contour Model for Segmenting and Measuring Retinal Vessels [J].