eprintid: 10050439
rev_number: 24
eprint_status: archive
userid: 608
dir: disk0/10/05/04/39
datestamp: 2018-06-22 12:44:01
lastmod: 2021-10-13 22:54:23
status_changed: 2018-06-22 12:44:01
type: proceedings_section
metadata_visibility: show
creators_name: Tick, J
creators_name: Pulkkinen, A
creators_name: Lucka, F
creators_name: Ellwood, R
creators_name: Cox, BT
creators_name: Arridge, SR
creators_name: Tarvainen, T
title: Photoacoustic image reconstruction in Bayesian framework
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
divisions: F42
keywords: photoacoustic tomography, inverse problems, Bayesian methods
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The photoacoustic image reconstruction problem (inverse problem) is to estimate an initial acoustic pressure distribution from measurements of ultrasound waves generated within an object due to optical excitation with a short light pulse. In this work, the recently suggested Bayesian approach to photoacoustic tomography is extended to three dimensions and an iterative matrix-free method for the solution of the problem is described. Image reconstruction is investigated with numerical simulations and experimental data. The use of different prior information and noise models in different sensor geometries, including a limited-view setup, is investigated. The results show that the Bayesian approach can produce accurate estimates of the initial pressure distribution even in a limited-view setup provided that prior information and the noise have been properly modelled.
date: 2018-01-01
date_type: published
publisher: SPIE
official_url: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10494/2288163/Photoacoustic-image-reconstruction-in-Bayesian-framework/10.1117/12.2288163.full?SSO=1
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1560062
doi: 10.1117/12.2288163
isbn_13: 9781510614734
lyricists_name: Arridge, Simon
lyricists_name: Cox, Benjamin
lyricists_name: Lucka, Felix
lyricists_name: Tarvainen, Tanja
lyricists_id: SRARR14
lyricists_id: BTCOX21
lyricists_id: FLUCK81
lyricists_id: TMTAR26
actors_name: Bracey, Alan
actors_id: ABBRA90
actors_role: owner
full_text_status: public
series: PROCEEDINGS SPIE BIOS
publication: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
volume: 10494
place_of_pub: San Francisco, California, United States
event_title: Photons Plus Ultrasound: Imaging and Sensing 2018
issn: 1605-7422
book_title: Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 1049450 (2018)
editors_name: Oraevsky,, Alexander A.
editors_name: Wang, Lihong V.
citation:        Tick, J;    Pulkkinen, A;    Lucka, F;    Ellwood, R;    Cox, BT;    Arridge, SR;    Tarvainen, T;      (2018)    Photoacoustic image reconstruction in Bayesian framework.                     In: Oraevsky,, Alexander A. and Wang, Lihong V., (eds.) Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 1049450 (2018).    SPIE: San Francisco, California, United States.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10050439/1/1049450.pdf