Quantitative photoacoustic tomography augmented with surface light measurements.

Area of Science:

• Biomedical Optics
• Medical Imaging
• Inverse Problems

Background:

• Quantitative photoacoustic tomography (QPAT) estimates optical parameters within tissue from photoacoustic images.
• Optical parameter estimation in QPAT is an ill-posed inverse problem.
• Conventional QPAT methods face challenges in accurately reconstructing these parameters.

Purpose of the Study:

• To investigate the utility of surface light measurements in enhancing QPAT.
• To improve the estimation of absorption and scattering coefficients using supplementary surface light data.
• To evaluate the performance of QPAT augmented with surface light data.

Main Methods:

• Formulated absorption and scattering estimation as a minimization problem.
• Utilized both internal quantitative photoacoustic data and external surface light measurements.
• Employed two-dimensional numerical simulations with the diffusion approximation for light propagation modeling.

Main Results:

• Augmenting QPAT with surface light data improved absorption estimates.
• Surface light data also enhanced the accuracy of scattering coefficient estimations.
• The enhanced QPAT provided superior results compared to conventional QPAT.

Conclusions:

• Surface light measurements are valuable for improving quantitative photoacoustic tomography.
• This approach offers a more robust method for optical parameter estimation in tissue.
• The findings suggest potential for more accurate non-invasive tissue characterization.