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Using corneal scan images to prepare new reference data

Develop Algorithms for Heatmap Generation from Placido Disc Eye Image

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2020/11/029107
Enrollment
1000
Registered
2020-11-13
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: H186- Keratoconus

Interventions

Intervention1: Optikon Keratron device: obtain heat maps of patients recorded topographic data Control Intervention1: nil: obervational study

Sponsors

Sankara Eye Hospital
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: corneal topography records of normal patients keratoconus patients refractive errors

Exclusion criteria

Exclusion criteria: topography records of patients post refractive surgeries post corneal transplants of corneal scars or opacity

Design outcomes

Primary

MeasureTime frame
we aim to develop algorithms for the automatic axial, curvature, spherical and/or refraction heatmap generation from the input eye image with placido disc projection.Timepoint: after collecting case records of sample number—

Secondary

MeasureTime frame
Using the pairwise data, we plan to explore several approaches to learn the mapping function, including mathematical modeling-based approach to map 2D curvature to 3D curvature, and data-based approach using deep learningTimepoint: After obtaining the heat maps from the collected topographic image records within 6 months—

Countries

India

Contacts

Public ContactPallavi joshi

Sankara Eye Hospital

drpallavijoshi@gmail.com08762694607

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026