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Reconstruction-classification method for quantitative photoacoustic tomography

Research output: Contribution to journalArticle

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Reconstruction-classification method for quantitative photoacoustic tomography. / Malone, Emma; Powell, Samuel; Cox, Ben; Arridge, Simon.

In: Journal of Biomedical Optics, Vol. 20, No. 12, 12.2015.

Research output: Contribution to journalArticle

Harvard

Malone, E, Powell, S, Cox, B & Arridge, S 2015, 'Reconstruction-classification method for quantitative photoacoustic tomography', Journal of Biomedical Optics, vol. 20, no. 12. https://doi.org/10.1117/1.JBO.20.12.126004]

APA

Malone, E., Powell, S., Cox, B., & Arridge, S. (2015). Reconstruction-classification method for quantitative photoacoustic tomography. Journal of Biomedical Optics, 20(12). https://doi.org/10.1117/1.JBO.20.12.126004]

Vancouver

Malone E, Powell S, Cox B, Arridge S. Reconstruction-classification method for quantitative photoacoustic tomography. Journal of Biomedical Optics. 2015 Dec;20(12). https://doi.org/10.1117/1.JBO.20.12.126004]

Author

Malone, Emma ; Powell, Samuel ; Cox, Ben ; Arridge, Simon. / Reconstruction-classification method for quantitative photoacoustic tomography. In: Journal of Biomedical Optics. 2015 ; Vol. 20, No. 12.

Bibtex Download

@article{b748e0ce383e4ec0ba6e06427502b65a,
title = "Reconstruction-classification method for quantitative photoacoustic tomography",
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",
author = "Emma Malone and Samuel Powell and Ben Cox and Simon Arridge",
year = "2015",
month = dec,
doi = "10.1117/1.JBO.20.12.126004]",
language = "English",
volume = "20",
journal = "Journal of Biomedical Optics",
issn = "1083-3668",
publisher = "SPIE",
number = "12",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Reconstruction-classification method for quantitative photoacoustic tomography

AU - Malone, Emma

AU - Powell, Samuel

AU - Cox, Ben

AU - Arridge, Simon

PY - 2015/12

Y1 - 2015/12

N2 - 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

AB - 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

U2 - 10.1117/1.JBO.20.12.126004]

DO - 10.1117/1.JBO.20.12.126004]

M3 - Article

VL - 20

JO - Journal of Biomedical Optics

JF - Journal of Biomedical Optics

SN - 1083-3668

IS - 12

ER -

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