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Wavelength-dependent error minimization for quantitative spectroscopic photoacoustic tomography with a ring-array

Alexander Pattyn1, Yan Yan2, Mohammad Mehrmohammadi3

  • 1Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA.

Zeitschrift Fur Medizinische Physik
|May 24, 2023
PubMed
Summary

This study enhances spectroscopic photoacoustic tomography (sPAT) accuracy for cancer detection by using ultrasound tomography for optical and acoustic compensation. This improves quantitative oxygen saturation measurements in heterogeneous tissues, crucial for reliable in-vivo biomarker quantification.

Keywords:
Optical fluence compensationPhotoacoustic tomographySound speed compensationSpectral unmixingUltrasound tomographyWavelength-dependency

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Area of Science:

  • Biomedical Imaging
  • Optical Physics
  • Medical Diagnostics

Background:

  • Photoacoustic tomography (PAT) offers non-invasive, high-resolution imaging of tissue optical properties for cancer detection.
  • Spectroscopic PAT (sPAT) provides functional information like oxygen saturation (sO2), a key cancer biomarker.
  • Wavelength dependency in sPAT limits accurate quantitative oxygenation measurements, especially at depth.

Purpose of the Study:

  • To explore the utility of an optical and acoustic compensation algorithm to minimize wavelength dependency in sPAT.
  • To showcase improvements in spectral unmixing for more reliable sPAT measurements.
  • To enhance the accuracy of quantitative tissue oxygenation measurements using combined ultrasound tomography (UST) and PAT.

Main Methods:

  • Two heterogeneous phantoms with known optical spectra were manufactured for testing.
  • The developed optical and acoustic compensation PAT (OAcPAT) algorithm was applied to sPAT data.
  • Improvements were quantified by comparing compensated and uncompensated measurements against ground truth, measuring relative percent error.

Main Results:

  • OAcPAT significantly improved sPAT accuracy in heterogeneous media.
  • Measurement errors were reduced by up to 12% at larger inclusion depths.
  • The algorithm demonstrated a marked improvement in spectral unmixing accuracy.

Conclusions:

  • Model-based optical and acoustic compensation using UST effectively minimizes sPAT errors caused by tissue heterogeneity.
  • This synergistic combination of UST and PAT enables bias-free quantitative sPAT measurements.
  • The approach holds significant potential for future pre-clinical and clinical applications of PAT.