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@MASTERSTHESIS{Lintermann:867484,
      author       = {Lintermann, Andreas},
      title        = {{S}urface {R}econstruction of the {H}uman {N}asal {C}avity
                      from {CT}-{D}ata for {F}luid {M}echanical {A}nalysis of
                      {B}reathing {P}roblems},
      school       = {RWTH Aachen University},
      type         = {Diplomarbeit},
      address      = {Aachen},
      reportid     = {FZJ-2019-06123},
      pages        = {161},
      year         = {2008},
      note         = {Diplomarbeit, RWTH Aachen University, 2008},
      abstract     = {In this diploma thesis, the accuracy of three-dimensional
                      surface reconstructions of the human nasal cavity from
                      Computer Tomography (CT) volume images is analyzed. For this
                      purpose, a reconstruction pipeline is developed, allowing
                      the extraction of the nasal cavity surface, which then can
                      be used to carry out flow simulations to analyze breathing
                      problems. The accuracy is examined by generating an
                      artificial CT-image from a reference surface of the nasal
                      cavity, approximating a real CT-image by applying filters
                      and subsequently extracting a surface with the
                      reconstruction pipeline. Error metrics are introduced to
                      examine the distance between the reference and the generated
                      surface giving information on the accuracy of the
                      reconstructed surface. After the extraction of the raw
                      surface from CT-data, a post-processing is necessary because
                      of aliasing effects. The surface is smoothed with Laplacian
                      or windowed sinc function smoothing. It is shown that the
                      latter smoothing method allows a better approximation to the
                      original surface without shrinking the surface as occuring
                      in Laplacian smoothing. The curvature of the reconstructed
                      surface is studied to obtain a measure of smoothness. The
                      error produced under increasing CT-image resolution, using
                      the surface obtained from the generated image, is also
                      investigated. As expected, the error decreases under
                      increasing the resolution. To examine the error of artifacts
                      in CT-images, noise of a certain period and amplitude is su-
                      perimposed to the CT-data, a surface is extracted and the
                      error is calculated. Additionally, the volumetric change of
                      the nasal cavity is correlated to this error, allowing an
                      evaluation of the influence of artifacts. The results show
                      that increasing noise is linearly correlated to a volumetric
                      change of the nasal cavity and the surface error.},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)10},
      url          = {https://juser.fz-juelich.de/record/867484},
}