Hauptseite > Externe Publikationen > Vita Publikationen > Surface Reconstruction of the Human Nasal Cavity from CT-Data for Fluid Mechanical Analysis of Breathing Problems > print

001     867484
005     20210130003743.0
037 _ _ |a FZJ-2019-06123
041 _ _ |a English
100 1 _ |a Lintermann, Andreas
|0 P:(DE-Juel1)165948
|b 0
|u fzj
245 _ _ |a Surface Reconstruction of the Human Nasal Cavity from CT-Data for Fluid Mechanical Analysis of Breathing Problems
|f - 2008-12-01
260 _ _ |a Aachen
|c 2008
300 _ _ |a 161
336 7 _ |a Diploma Thesis
|b diploma
|m diploma
|0 PUB:(DE-HGF)10
|s 1575391593_12992
|2 PUB:(DE-HGF)
336 7 _ |a Thesis
|0 2
|2 EndNote
336 7 _ |a Output Types/Supervised Student Publication
|2 DataCite
336 7 _ |a masterThesis
|2 DRIVER
336 7 _ |a MASTERSTHESIS
|2 BibTeX
336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
|2 ORCID
502 _ _ |a Diplomarbeit, RWTH Aachen University, 2008
|c RWTH Aachen University
|b Diplomarbeit
|d 2008
520 _ _ |a 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.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
856 4 _ |u https://juser.fz-juelich.de/record/867484/files/Unknown%20-%202008%20-%20Surface%20Reconstruction%20of%20the%20Human%20Nasal%20Cavity%20from%20CT-Data%20for%20Fluid%20Mechanical%20Analysis%20of%20Breathing%20Problems%20-%20Lin.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/867484/files/Unknown%20-%202008%20-%20Surface%20Reconstruction%20of%20the%20Human%20Nasal%20Cavity%20from%20CT-Data%20for%20Fluid%20Mechanical%20Analysis%20of%20Breathing%20Problems%20-%20Lin.pdf?subformat=pdfa
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909 C O |o oai:juser.fz-juelich.de:867484
|p extern4vita
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)165948
913 1 _ |a DE-HGF
|b Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|l Supercomputing & Big Data
980 1 _ |a EXTERN4VITA
980 _ _ |a diploma
980 _ _ |a USER
980 _ _ |a I:(DE-Juel1)JSC-20090406

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