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Three-dimensional flow contrast imaging of deep tissue using noncontact diffuse correlation tomography.

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This study introduces noncontact diffuse correlation tomography (ncDCT) for 3-D deep tissue blood flow imaging. The ncDCT technique successfully reconstructed flow anomalies in simulations and phantoms, showing high correlation with actual flow changes.

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Physiological Measurement

Background:

  • Diffuse Correlation Spectroscopy (DCS) measures blood flow.
  • Current DCS methods often require physical contact, limiting deep tissue imaging.
  • Three-dimensional (3-D) imaging of deep tissue blood flow remains a challenge.

Purpose of the Study:

  • To develop and validate a noncontact diffuse correlation tomography (ncDCT) system for 3-D deep tissue blood flow imaging.
  • To assess the capability of ncDCT in reconstructing flow anomalies within tissue.
  • To evaluate the accuracy of ncDCT in quantifying blood flow changes.

Main Methods:

  • Developed a mobile, noncontact system with 15 photodetectors and 2 laser sources for automated scanning.
  • Integrated boundary measurements with a finite element framework for DCT image reconstruction.
  • Validated the ncDCT technique using computer simulations and a tissue-like phantom with a cylindrical flow anomaly.

Main Results:

  • The ncDCT system successfully reconstructed a cylindrical tube-shaped anomaly in both simulations and phantom studies.
  • High correlation was observed between recovered and assigned flow contrast changes (simulation: R²=1.00; phantom: R²≥0.96).
  • The system demonstrated accurate quantification of flow contrast changes in the anomaly.

Conclusions:

  • The developed noncontact diffuse correlation tomography (ncDCT) technique shows significant promise for 3-D imaging of deep tissue.
  • ncDCT enables accurate reconstruction and quantification of blood flow heterogeneities in deep tissues.
  • This noncontact approach advances the potential for in vivo deep tissue blood flow monitoring.