Perimetry of the Central Visual Field Using a Head-Mounted Open-Source Perimeter in Patients with Inherited Retinal Diseases

Huchzermeyer C, Kruse F, Kremers J (2026)


Publication Type: Journal article

Publication year: 2026

Journal

Book Volume: 10

Article Number: 12

Journal Issue: 1

DOI: 10.3390/vision10010012

Abstract

Head-mounted (“virtual reality”) perimeters (HMPs), based on standard consumer electronic hardware, are a cheaper alternative to standard automated perimetry. They have not been validated in patients with inherited retinal disease (IRDs), yet. We evaluated the Iowa-HMP in a first pilot study. It consists of a legacy smartphone, a headset, and freely available, open-source software. We used the 10-2 grid, the ZEST algorithm, and a background of 10 cd/m2 to measure central visual fields in one normal subject, and in patients with occult macular dystrophy (n = 2), Stargardt’s disease (n = 3) and retinitis pigmentosa (n = 6). Results were compared with those from an Octopus 900 perimeter. The typical patterns of visual field loss were clearly discernible, but head-mounted perimeters generally have a limited dynamic range. Within the dynamic range of the Iowa-HMP (14 to 30 dB Octopus sensitivity), the Limits of Agreement (Bland-Altman) were ±7.5 dB. The Iowa-HMP had a diagnostic sensitivity of 0.67 for detecting locations with low perimetric sensitivity (<14 dB in the Octopus perimetry) with a diagnostic specificity of 0.95. Although the Iowa-HMP cannot be directly compared to standard perimetry in IRDs, open software greatly facilitates research in this area.

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How to cite

APA:

Huchzermeyer, C., Kruse, F., & Kremers, J. (2026). Perimetry of the Central Visual Field Using a Head-Mounted Open-Source Perimeter in Patients with Inherited Retinal Diseases. Vision, 10(1). https://doi.org/10.3390/vision10010012

MLA:

Huchzermeyer, Cord, Friedrich Kruse, and Jan Kremers. "Perimetry of the Central Visual Field Using a Head-Mounted Open-Source Perimeter in Patients with Inherited Retinal Diseases." Vision 10.1 (2026).

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