Abstract

The goal of this work was to develop and validate a spectrally resolved photoacoustic imaging method, namely multi-spectral photoacoustic elasticity tomography (PAET) for quantifying the physiological parameters and elastic modulus of biological tissues. We theoretically and experimentally examined the PAET imaging method using simulations and in vitro experimental tests. Our simulation and in vitro experimental results indicated that the reconstructions were quantitatively accurate in terms of sizes, the physiological and elastic properties of the targets.

Highlights

  • Photoacoustic tomography (PAT) is a robust biomedical imaging method that can offer the structural and functional information of biological tissues with excellent resolution and high contrast [1,2,3,4,5,6,7]

  • Recent work shows that PAT can reconstruct the tissue mechanical properties including the acoustic velocity, the elastic modulus and the temperature [12,13,14,15], and optical and physiological properties such as the optical absorption and scattering coefficients, the deoxyhemoglobin (HbR) and oxyhemoglobin (HbO2) concentrations by using spectrally resolved photoacoustic (PA) measurements [6,16,17,18,19]

  • The uniqueness regarding simultaneous reconstruction of different chromophore concentrations and acoustic velocity has been resolved for multi-spectral PAT [18], which can reveal spatially resolved quantitative physiological and molecular information by exploiting the known spectral characteristics of specific chromophores

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Summary

Introduction

Photoacoustic tomography (PAT) is a robust biomedical imaging method that can offer the structural and functional information of biological tissues with excellent resolution and high contrast [1,2,3,4,5,6,7]. Recent work shows that PAT can reconstruct the tissue mechanical properties including the acoustic velocity, the elastic modulus and the temperature [12,13,14,15], and optical and physiological properties such as the optical absorption and scattering coefficients, the deoxyhemoglobin (HbR) and oxyhemoglobin (HbO2) concentrations by using spectrally resolved photoacoustic (PA) measurements [6,16,17,18,19]. The capability of reconstructing the physiology and elastic properties by using multi-spectral PAET, paves a new avenue for better differentiating benign from malignant lesions since the elastic contrast between diseased and healthy tissues is very high [21]

The multi-spectral PAET reconstruction method
K β ρC p
The multi-spectral PAET imaging systems
Simulation and in vitro experimental tests
Results and discussion
Background

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