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A Data Self-Calibration Method Based on High-Density Parallel Plate Diffuse Optical Tomography for Breast Cancer

Xin Wang1,2, Rui Hu1,2, Yirong Wang3

  • 1School of Life Science and Technology, Xidian University, Xi'an, China.

Frontiers in Oncology
|January 7, 2022
PubMed
Summary

A new data self-calibration method for diffuse optical tomography (DOT) of the breast simplifies measurements. This technique enhances breast DOT applicability by eliminating the need for reference phantoms in high-density systems.

Keywords:
breast cancerdata calibrationdiffuse optical tomography (DOT)image reconstructionmedical optics instrumentation

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Area of Science:

  • Biomedical Optics
  • Medical Imaging
  • Photonics

Background:

  • Diffuse optical tomography (DOT) is crucial for breast imaging, but reconstruction accuracy is often limited by mismatches between models and experimental conditions.
  • Conventional DOT calibration relies on reference phantom measurements, which are complex to customize for individual subjects and challenging with high-density (HD) DOT systems.
  • HD-DOT improves imaging quality but complicates multi-channel calibration due to numerous source-detector pairs.

Purpose of the Study:

  • To introduce a novel data self-calibration method for breast DOT.
  • To enhance the clinical applicability of HD-DOT by simplifying calibration procedures.
  • To eliminate the need for subject-specific reference phantoms.

Main Methods:

  • A data self-calibration method was developed for a high-density (HD) parallel-plate DOT system.
  • The method constructs reference predicted data directly from measurement data, leveraging numerous source-detector measurements.
  • Validation was performed using Monte Carlo simulations, breast-size phantom experiments, and clinical trials.

Main Results:

  • The proposed self-calibration method effectively replaces conventional reference phantom measurements.
  • It ensures the quality of DOT reconstruction in breast imaging.
  • The complexity associated with reference phantom measurements is significantly reduced.

Conclusions:

  • The data self-calibration method is feasible for enhancing breast DOT.
  • This approach simplifies calibration, improving the applicability of HD-DOT systems.
  • It offers a practical solution for accurate breast DOT in clinical settings.