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14 December 2015 Reconstruction-classification method for quantitative photoacoustic tomography
Emma Malone, Samuel Powell, Ben T. Cox, Simon Arridge
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Journal of Biomedical Optics, Vol. 20, Issue 12, 126004 (December 2015). https://doi.org/10.1117/1.JBO.20.12.126004
Abstract
We propose a combined reconstruction-classification method for simultaneously recovering absorption and scattering in turbid media from images of absorbed optical energy. This method exploits knowledge that optical parameters are determined by a limited number of classes to iteratively improve their estimate. Numerical experiments show that the proposed approach allows for accurate recovery of absorption and scattering in two and three dimensions, and delivers superior image quality with respect to traditional reconstruction-only approaches.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Emma Malone, Samuel Powell, Ben T. Cox, and Simon Arridge "Reconstruction-classification method for quantitative photoacoustic tomography," Journal of Biomedical Optics 20(12), 126004 (14 December 2015). https://doi.org/10.1117/1.JBO.20.12.126004
Published: 14 December 2015
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Cited by 11 scholarly publications.
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KEYWORDS
Scattering
Tissue optics
Absorption
Photoacoustic tomography
Image segmentation
Geometrical optics
Reconstruction algorithms
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