<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>6232</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>100645J</pageFirst>
    <pageLast>100645J-13</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>10064</volume>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Monte-Carlo-based inversion scheme for 3D quantitative photoacoustic tomography</title>
    <abstract language="eng">The goal of quantitative photoacoustic tomography (qPAT) is to recover maps of the chromophore distributions from multiwavelength images of the initial pressure. Model-based inversions that incorporate the physical processes underlying the photoacoustic (PA) signal generation represent a promising approach. Monte-Carlo models of the light transport are computationally expensive, but provide accurate fluence distributions predictions, especially in the ballistic and quasi-ballistic regimes. Here, we focus on the inverse problem of 3D qPAT of blood oxygenation and investigate the application of the Monte-Carlo method in a model-based inversion scheme. A forward model of the light transport based on the MCX simulator and acoustic propagation modeled by the k-Wave toolbox was used to generate a PA image data set acquired in a tissue phantom over a planar detection geometry. The combination of the optical and acoustic models is shown to account for limited-view artifacts. In addition, the errors in the fluence due to, for example, partial volume artifacts and absorbers immediately adjacent to the region of interest are investigated. To accomplish large-scale inversions in 3D, the number of degrees of freedom is reduced by applying image segmentation to the initial pressure distribution to extract a limited number of regions with homogeneous optical parameters. The absorber concentration in the tissue phantom was estimated using a coordinate descent parameter search based on the comparison between measured and modeled PA spectra. The estimated relative concentrations using this approach lie within 5 % compared to the known concentrations. Finally, we discuss the feasibility of this approach to recover the blood oxygenation from experimental data.</abstract>
    <parentTitle language="eng">Proc. of SPIE, Photons Plus Ultrasound: Imaging and Sensing 2017</parentTitle>
    <identifier type="doi">10.1117/12.2251945</identifier>
    <enrichment key="Series">Proc. of SPIE</enrichment>
    <enrichment key="PeerReviewed">no</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-62318</enrichment>
    <author>Bernhard Kaplan</author>
    <submitter>Bernhard Kaplan</submitter>
    <author>Jens Buchmann</author>
    <author>Steffen Prohaska</author>
    <author>Jan Laufer</author>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="prohaska">Prohaska, Steffen</collection>
    <collection role="projects" number="dfg-photom">dfg-photom</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
  </doc>
</export-example>
