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Quantitative photoacoustic tomography: modeling and inverse problems.

Tanja Tarvainen1, Ben Cox2

  • 1University of Eastern Finland, Department of Technical Physics, Kuopio, Finland.

Journal of Biomedical Optics
|December 21, 2023
PubMed
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Quantitative photoacoustic tomography (QPAT) images tissue optical absorption. This study reviews QPAT's optical aspects, focusing on computational modeling and inverse problem solutions for improved clinical imaging.

Keywords:
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Area of Science:

  • Biomedical Imaging
  • Optical Physics
  • Computational Modeling

Background:

  • Quantitative photoacoustic tomography (QPAT) enables imaging of tissue optical absorption.
  • QPAT involves acoustic and optical components, with this study focusing on the optical aspect.

Purpose of the Study:

  • To review computational modeling of light propagation (forward problem) in QPAT.
  • To discuss numerical solution methodologies for image reconstruction (inverse problem) in QPAT.
  • To address challenges in applying QPAT methodologies in clinical practice.

Main Methods:

  • Review of mathematical models for light and sound propagation in biological tissues.
  • Overview of acoustic inverse problem treatment.
  • Detailed review of optical inverse problem solutions and methodologies.
  • Discussion of limitations in real-life measurements and their impact on inverse problems.

Main Results:

  • An overview of QPAT, emphasizing its optical component, was presented.
  • Computational modeling and inverse problems central to QPAT were addressed.
  • Key challenges in QPAT implementation were identified and discussed.
  • Developments for overcoming these challenges were reviewed.

Conclusions:

  • The study provided a comprehensive discussion of QPAT's modeling and inverse problems, focusing on the optical aspect.
  • While light transport modeling and inverse mathematics frameworks are established, practical application of QPAT faces ongoing challenges.