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Subjective Refraction Test Using a Smartphone for Vision Screening
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Smartphone Photogrammetric Assessment for Head Measurements.

Omar C Quispe-Enriquez1, Juan José Valero-Lanzuela1, José Luis Lerma1

  • 1Photogrammetry and Laser Scanner Research Group (GIFLE), Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
Summary
This summary is machine-generated.

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This study evaluated smartphone accuracy for infant cranial deformation assessment. The Samsung S22 series demonstrated varying precision, highlighting device choice importance for the PhotoMeDAS system.

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Infant Health

Background:

  • Cranial deformation assessment is vital in pediatrics and pediatric neurosurgery.
  • Smartphone-based solutions like PhotoMeDAS offer accessible 3D head modeling for deformation analysis.
  • Evaluating device-specific accuracy is crucial for reliable clinical application.

Purpose of the Study:

  • To compare the linear accuracy of different smartphone models in generating 3D cranial models.
  • To assess the performance of the PhotoMeDAS system across Samsung Galaxy S22, S22+, and S22 Ultra devices.
  • To provide data for prospective users to consider device-specific accuracy in clinical settings.

Main Methods:

  • Photogrammetric processing of infant head models captured by three Samsung smartphone models (S22, S22+, S22 Ultra).
Keywords:
3D measurement3D scanningcranial deformationmetric assessmentsmartphone device

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  • Testing three bundle adjustment implementations with and without self-calibration.
  • Comparing linear accuracy against ground truth data obtained from a Creaform ACADEMIA 50 3D scanner.

    • Main Results:

    • The Samsung S22 achieved an average accuracy of -1.15 ± 0.53 mm.
    • The Samsung S22+ showed an average accuracy of 0.95 ± 0.40 mm.
    • The Samsung S22 Ultra yielded an average accuracy of -1.8 ± 0.45 mm, with significant improvements noted when using a scale factor.

    Conclusions:

    • Smartphone model significantly impacts the accuracy of 3D cranial deformation assessment.
    • The Samsung S22+ demonstrated the highest accuracy among the tested devices.
    • Implementing a scale factor enhances the precision of smartphone-based photogrammetric measurements for clinical use.