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一种与个体眼睛的视神经头相关联的视场的解剖学可定制计算模型。

An anatomically customizable computational model relating the visual field to the optic nerve head in individual eyes.

机构信息

Department of Optometry and Vision Sciences, University of Melbourne, Melbourne, Victoria, Australia.

出版信息

Invest Ophthalmol Vis Sci. 2012 Oct 9;53(11):6981-90. doi: 10.1167/iovs.12-9657.

DOI:10.1167/iovs.12-9657
PMID:22969077
Abstract

PURPOSE

To present a computational model mapping visual field (VF) locations to optic nerve head (ONH) sectors accounting for individual ocular anatomy, and to describe the effects of anatomical variability on maps produced.

METHODS

A previous model that related retinal locations to ONH sectors was adapted to model eyes with varying axial length, ONH position and ONH dimensions. Maps (n = 11,550) relating VF locations (24-2 pattern, n = 52 non-blind-spot locations) to 1° ONH sectors were generated for a range of clinically plausible anatomical parameters. Infrequently mapped ONH sectors (5%) were discarded for all locations. The influence of anatomical variables on the maps was explored by multiple linear regression.

RESULTS

Across all anatomical variants, for individual VF locations (24-2), total number of mapped 1° ONH sectors ranged from 12 to 90. Forty-one locations varied more than 30°. In five nasal-step locations, mapped ONH sectors were bimodally distributed, mapping to vertically opposite ONH sectors depending on vertical ONH position. Mapped ONH sectors were significantly influenced (P < 0.0002) by axial length, ONH position, and ONH dimensions for 39, 52, and 30 VF locations, respectively. On average across all VF locations, vertical ONH position explained the most variance in mapped ONH sector, followed by horizontal ONH position, axial length, and ONH dimensions.

CONCLUSIONS

Relations between ONH sectors and many VF locations are strongly anatomy-dependent. Our model may be used to produce customized maps from VF locations to the ONH in individual eyes where some simple biometric parameters are known.

摘要

目的

提出一种将视野(VF)位置映射到视盘(ONH)扇区的计算模型,该模型考虑了个体眼球解剖结构,并描述了解剖结构变异性对生成的图谱的影响。

方法

对先前将视网膜位置与 ONH 扇区相关联的模型进行了修改,以模拟眼轴长度、ONH 位置和 ONH 尺寸不同的眼睛。针对一系列临床合理的解剖学参数,生成了将 VF 位置(24-2 模式,52 个非盲点位置)与 1°ONH 扇区相关联的图谱(n=11550)。对于所有位置,都丢弃了很少映射的 ONH 扇区(5%)。通过多元线性回归探讨了解剖学变量对图谱的影响。

结果

在所有解剖学变体中,对于单个 VF 位置(24-2),总共映射的 1°ONH 扇区数量从 12 到 90 不等。有 41 个位置变化超过 30°。在五个鼻侧步位置,映射的 ONH 扇区呈双峰分布,根据垂直 ONH 位置映射到垂直相对的 ONH 扇区。对于 39、52 和 30 个 VF 位置,分别有 41、52 和 30 个 ONH 位置,轴向长度、ONH 位置和 ONH 尺寸对映射的 ONH 扇区有显著影响(P<0.0002)。平均而言,对于所有 VF 位置,垂直 ONH 位置对映射的 ONH 扇区的方差解释最多,其次是水平 ONH 位置、眼轴长度和 ONH 尺寸。

结论

ONH 扇区与许多 VF 位置之间的关系强烈依赖于解剖结构。我们的模型可以用于根据一些简单的生物测量参数在个体眼中从 VF 位置生成到 ONH 的定制图谱。

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