A Bayesian Radial Basis Function Model to Link Retinal Structure and Visual Function in Glaucoma
Glaucoma is a leading cause of irreversible blindness and requires precise measures for early detection and follow-up. However, individual clinical measures in glaucoma are highly variable. It is anticipated that this variability can be reduced by combining the independent measurements that test various aspects of the glaucomatous damage. This study proposes a mathematical framework to link retinal nerve fibre layer (RNFL) structure and visual function using the data typically acquired in the clinical management of glaucoma. The model performed and generalized well over different populations from three clinical centres. The derived structure-function relationship accorded well with RNFL anatomy, and could be applied to reduce the variability that confounds the measurement of glaucoma damage.
radial basis function visual field retinal nerve fibre layer, glaucoma
Haogang Zhu David P Crabb David F Garway-Heath
Department of Optometry and Visual Science,City University London,London,UK NIHR Biomedical Research Centre for Ophthalmology,Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology,London,UK
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）