Quantitative PA tomography of high resolution 3-D images: experimental validation in tissue phantoms

Please always quote using this URN: urn:nbn:de:0297-zib-75416
  • Quantitative photoacoustic tomography aims recover the spatial distribution of absolute chromophore concentrations and their ratios from deep tissue, high-resolution images. In this study, a model-based inversion scheme based on a Monte-Carlo light transport model is experimentally validated on 3-D multispectral images of a tissue phantom acquired using an all-optical scanner with a planar detection geometry. A calibrated absorber allowed scaling of the measured data during the inversion, while an acoustic correction method was employed to compensate the effects of limited view detection. Chromophore- and fluence-dependent step sizes and Adam optimization were implemented to achieve rapid convergence. High resolution 3-D maps of absolute concentrations and their ratios were recovered with high accuracy. Potential applications of this method include quantitative functional and molecular photoacoustic tomography of deep tissue in preclinical and clinical studies.

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Author:Jens Buchmann, Bernhard Kaplan, Samuel Powell, Steffen Prohaska, Jan Laufer
Document Type:ZIB-Report
Tag:Monte Carlo; blood oxygen saturation; inverse problem; model-based inversion; quantitative photoacoustic imaging; spectral unmixing
MSC-Classification:65-XX NUMERICAL ANALYSIS
CCS-Classification:J. Computer Applications
PACS-Classification:80.00.00 INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY
Date of first Publication:2019/12/10
Series (Serial Number):ZIB-Report (19-60)
ISSN:1438-0064
Published in:Photoacoustics 17:100157, 2020
DOI:https://doi.org/10.1016/j.pacs.2019.100157