Evidence map›Paper›PMID 39280782›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2024

Evaluation of monocular and binocular contrast perception on virtual reality head-mounted displays.

Khushi Bhansali, Miguel A Lago, Ryan Beams, Chumin Zhao

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Khushi BhansaliUS Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
Miguel A LagoUS Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.ORCID https://orcid.org/0000-0002-7829-9570
Ryan BeamsUS Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
Chumin ZhaoUS Food and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.ORCID https://orcid.org/0000-0002-6549-2208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Visualization of medical images on a virtual reality (VR) head-mounted display (HMD) requires binocular fusion of a stereoscopic pair of graphical views. However, current image quality assessment on VR HMDs for medical applications has been primarily limited to time-consuming monocular optical bench measurement on a single eyepiece. Approach: As an alternative to optical bench measurement to quantify the image quality on VR HMDs, we developed a WebXR test platform to perform contrast perceptual experiments that can be used for binocular image quality assessment. We obtained monocular and binocular contrast sensitivity responses (CSRs) from participants on a Meta Quest 2 VR HMD using varied interpupillary distance (IPD) configurations. Results: The perceptual result shows that contrast perception on VR HMDs is primarily affected by optical aberration of the VR HMD. As a result, monocular CSR degrades at a high spatial frequency greater than 4 cycles per degree when gazing at the periphery of the display field of view, especially for mismatched IPD settings consistent with optical bench measurements. On the contrary, binocular contrast perception is dominated by the monocular view with superior image quality measured by the contrast. Conclusions: We developed a test platform to investigate monocular and binocular contrast perception by performing perceptual experiments. The test method can be used to evaluate monocular and/or binocular image quality on VR HMDs for potential medical applications without extensive optical bench measurements.

Indexed as

binocular visioncontrastcontrast perceptionimage quality assessmentvirtual reality

Identifiers

PMID39280782
PMCPMC11401613

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.