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Exploiting statistical independence for quantitative photoacoustic tomography

An, L; Saratoon, T; Fonseca, M; Ellwood, R; Cox, B; (2017) Exploiting statistical independence for quantitative photoacoustic tomography. In: Oraevsky, AA and Wang, LV, (eds.) Photons Plus Ultrasound: Imaging and Sensing 2017. (pp. pp. 10064191-10064197). Society of Photo-Optical Instrumentation Engineers (SPIE) Green open access

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Abstract

To unlock the full capability of photoacoustic tomography as a quantitative, high resolution, molecular imaging modality, the problem of quantitative photoacoustic tomography must be solved. The aim in this is to extract clinically relevant functional information from photoacoustic images by finding the concentrations of the chromophores in the tissue. This is a challenging task due to the effect of the unknown but spatially and spectrally varying light fluence within the tissue. Many inversion schemes that include a model of the fluence have been proposed, but these have yet to make an impact in pre-clinical or clinical imaging. In this study, the statistical independence of the chromophore's distributions is proposed as a means of improving the robustness and hence the usefulness of the model-based inversion methods. This was achieved by minimising the mutual information between the estimated chromophore distributions in addition to the least squares data error within a gradient-based optimisation scheme. By applying the proposed inversion scheme to simulated multiwavelength photoacoustic images, it was shown that more accurate estimates for the concentrations of independent chromophores could be obtained in the presence of errors in the model parameters.

Type: Proceedings paper
Title: Exploiting statistical independence for quantitative photoacoustic tomography
Event: SPIE Photonics West 2017
Location: San Francisco, California, United States
Dates: 28 January 2017 - 02 February 2017
ISBN-13: 9781510605701
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2250290
Publisher version: http://doi.org/10.1117/12.2250290
Language: English
Additional information: © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Physical Sciences, Life Sciences & Biomedicine, Optics, Radiology, Nuclear Medicine & Medical Imaging, Quantitative photoacoustic tomography, statistical independence, model-based inversion, mutual information, gradient-based minimisation, experimental uncertainty, multiwavelength, RANGE
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1570831
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