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<item>
  <id>05861620</id>
  <dt>j</dt>
  <an>05861620</an>
  <augroup>
    <au>Shim, Mun-Bo</au>
    <au>Gunay, Murat</au>
    <au>Shimada, Kenji</au>
  </augroup>
  <ti>Three-dimensional shape reconstruction of abdominal aortic aneurysm.</ti>
  <so>Comput.-Aided Des. 41, No. 8, 555-565 (2009).</so>
  <py>2009</py>
  <pu>Elsevier Science, Oxford</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>geometry reconstruction</ut>
    <ut>free-form deformation</ut>
    <ut>extended free-form deformation</ut>
    <ut>continuity control</ut>
    <ut>abdominal aortic aneurysm</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.cad.2007.10.006</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper presents an effective computational technique for reconstructing a three-dimensional shape of an abdominal aortic aneurysm (AAA), from a limited number of computed tomography (CT) images. The three-dimensional template geometry of a healthy abdominal aorta is used as a priori knowledge, and the template geometry is deformed by extended free-form deformation (EFFD), to generate a patient-specific AAA geometry. A two-step optimization scheme is devised to find an optimal set of EFFD parameters that match the cross-section of a deformed template with an AAA contour shown in a CT image. The geometric continuity of a deformed model is maintained by raising the order of the polynomial function used in EFFD. Experimental results show that the proposed method creates the three-dimensional shape of AAA suitable for structural finite element analysis and computational fluid dynamics for medical diagnosis.</ab>
    <rv></rv>
  </abgroup>
</item>