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Quantitative PA tomography of high resolution 3-D images: Experimental validation in a tissue phantom

Buchmann, Jens; Laufer, Jan; Kaplan, Bernhard; Prohaska, Steffen; Powell, Samuel; Powell, Samuel; Prohaska, Steffen; Buchmann, Jens; Laufer, Jan; Kaplan, Bernhard

Quantitative PA tomography of high resolution 3-D images: Experimental validation in a tissue phantom Thumbnail


Authors

Jens Buchmann

Jan Laufer

Bernhard Kaplan

Steffen Prohaska

Samuel Powell

Samuel Powell

Steffen Prohaska

Jens Buchmann

Jan Laufer

Bernhard Kaplan



Abstract

© 2019 The Author(s) Quantitative photoacoustic tomography aims to 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.

Citation

Laufer, J., Prohaska, S., Powell, S., Buchmann, J., & Kaplan, B. (2020). Quantitative PA tomography of high resolution 3-D images: Experimental validation in a tissue phantom. Photoacoustics, 17, https://doi.org/10.1016/j.pacs.2019.100157

Journal Article Type Article
Acceptance Date Dec 5, 2019
Online Publication Date Jan 8, 2020
Publication Date Mar 1, 2020
Deposit Date Jan 13, 2020
Publicly Available Date Jan 13, 2020
Journal Photoacoustics
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 17
Article Number 100157
DOI https://doi.org/10.1016/j.pacs.2019.100157
Keywords Atomic and Molecular Physics, and Optics; Radiology Nuclear Medicine and imaging
Public URL https://nottingham-repository.worktribe.com/output/3717841
Publisher URL https://www.sciencedirect.com/science/article/pii/S2213597919300801

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