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Development of a statistically standardized optical digital wrist model through integrated MRI-diffuse optical

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  • 1Tianjin University, College of Precision Instrument and Optoelectronics Engineering, Tianjin, China.

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|December 5, 2025
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Summary

This study introduces a novel digital wrist (DW) model integrating MRI and diffuse optical imaging (DOI) for accurate optical health monitoring. The developed anatomically informed models improve biosensing precision and clinical reliability.

Keywords:
digital wrist templatemagnetic resonance imagingoptical digital wrist modelspatial frequency domain imagingtime-domain diffuse optical tomography

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Wearable Health Technology

Background:

  • Current optical health-sensing devices use simplified models, leading to inaccuracies due to anatomical complexity and optical variability.
  • This necessitates the development of organ-specific optical models for reliable physiological sensing and robust clinical applications.

Purpose of the Study:

  • To create a standard digital wrist (DW) optical model by integrating magnetic resonance imaging (MRI) and diffuse optical imaging (DOI).
  • To enable anatomically accurate and optically realistic modeling of wrist tissues for enhanced precision in wearable optical health monitoring.

Main Methods:

  • Implemented a multimodal MRI-DOI framework combining statistical MRI integration for an anatomical DW template.
  • Utilized region-based time-domain diffuse optical tomography (TD-DOT) with MRI-derived priors for depth-resolved optical properties.
  • Employed spatial frequency domain imaging (SFDI) to acquire high-resolution optical properties of superficial skin layers.

Main Results:

  • Region-based TD-DOT reconstruction showed high accuracy with mean errors below 9.63% for optical properties.
  • Phantom experiments validated TD-DOT and SFDI performance, with SFDI yielding lower errors for superficial layers.
  • In vivo optical property measurements demonstrated strong agreement with literature values, confirming methodology reliability.

Conclusions:

  • Established a standard DW template and an in vivo optical structure acquisition methodology.
  • Transitioned biosensing models from homogeneous approximations to anatomically layered models.
  • The approach enhances customization, dynamic adaptability, and clinical validity of biosensing technologies.