<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>1658</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2012-11-20</completedDate>
    <publishedDate>2012-11-20</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Efficient projection and deformation of volumetric intensity models for accurate simulation of X-ray images</title>
    <abstract language="eng">We present an efficient GPU-based method to generate virtual X-ray images from tetrahedral meshes which are&#13;
associated with attenuation values. In addition, a novel approach is proposed that performs the model deformation&#13;
on the GPU. The tetrahedral grids are derived from volumetric statistical shape and intensity models (SSIMs) and describe anatomical structures. Our research targets at reconstructing 3D anatomical shapes by comparing virtual X-ray images generated using our novel approach with clinical data while varying the shape and density of the SSIM in an optimization process. We assume that a deformed SSIM adequately represents an anatomy of interest when the similarity between the virtual and the clinical X-ray image is maximized. The OpenGL implementation presented here generates accurate (virtual) X-ray images at interactive rates, thus qualifying it for its use in the reconstruction process.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-16580</identifier>
    <enrichment key="PeerReviewed">no</enrichment>
    <enrichment key="SourceTitle">Presented at the 12th Annual Meeting of CAOS-International (CAOS)</enrichment>
    <author>Moritz Ehlke</author>
    <submitter>Moritz Ehlke</submitter>
    <author>Heiko Ramm</author>
    <author>Hans Lamecker</author>
    <author>Stefan Zachow</author>
    <series>
      <title>ZIB-Report</title>
      <number>12-40</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Digitally Reconstructed Radiograph (DRR), Anatomy Reconstruction, Statistical Shape and Intensity Model (SSIM), GPU acceleration</value>
    </subject>
    <collection role="ccs" number="I.">Computing Methodologies</collection>
    <collection role="msc" number="97-XX">MATHEMATICS EDUCATION</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="persons" number="ehlke">Ehlke, Moritz</collection>
    <collection role="persons" number="lamecker">Lamecker, Hans</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="BSRT-3DFromXray">BSRT-3DFromXray</collection>
    <collection role="projects" number="MATHEON-F2">MATHEON-F2</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/1658/Report-12-40-final.pdf</file>
  </doc>
</export-example>
