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 ¼ 11,550) relating VF locations (24-2 pattern, n ¼ 52 non-blind-spot locations) to 18 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 18 ONH sectors ranged from 12 to 90. Forty-one locations varied more than 308. 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. (Invest Ophthalmol Vis Sci. 2012; 53:6981-6990) DOI:10.1167/iovs.12-9657 I maging devices are increasingly available for measuring optic nerve head (ONH) and retinal nerve fiber layer (RNFL) parameters. These devices offer alternative, complementary information to functional tests such as perimetry and electrophysiology for the diagnosis and management of optic neuropathies. Commonly, such as in glaucoma, no single test presents a complete picture of a patient's disease state and as such, it is desirable to compare and combine information from different tests.In the case of glaucoma, combining imaging with perimetry is clinically desirable for at least two reasons. First, it is desirable to combine results from structural and functional tests post hoc to improve sensitivity and specificity of both disease detection and progression measures. Second, imaging data may be useful in developing patient-specific targeted functional tests, for example by customizing the locations tested in a perimetric procedure.In order for these objectives to be achieved, it is necessary to know the topographic relationship between regions of the ONH and retinal (and, therefore, visual field) locations. Several such schemes have been published as a result of different techniques being applied to populations of patients in order to relate ONH and visual field locations. Garway-Heath et al. 1 traced visible nerve fiber bundle...