?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Photoacoustic+image+reconstruction+in+Bayesian+framework&rft.creator=Tick%2C+J&rft.creator=Pulkkinen%2C+A&rft.creator=Lucka%2C+F&rft.creator=Ellwood%2C+R&rft.creator=Cox%2C+BT&rft.creator=Arridge%2C+SR&rft.creator=Tarvainen%2C+T&rft.description=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%2C+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%2C+including+a+limited-view+setup%2C+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.&rft.subject=photoacoustic+tomography%2C+inverse+problems%2C+Bayesian+methods&rft.publisher=SPIE&rft.contributor=Oraevsky%2C%2C+Alexander+A.&rft.contributor=Wang%2C+Lihong+V.&rft.date=2018-01-01&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A+Oraevsky%2C%2C+Alexander+A.+and+Wang%2C+Lihong+V.%2C+(eds.)+Proceedings+Volume+10494%2C+Photons+Plus+Ultrasound%3A+Imaging+and+Sensing+2018%3B+1049450+(2018).++++SPIE%3A+San+Francisco%2C+California%2C+United+States.+(2018)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10050439%2F1%2F1049450.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10050439%2F&rft.rights=open