000867484 001__ 867484
000867484 005__ 20210130003743.0
000867484 037__ $$aFZJ-2019-06123
000867484 041__ $$aEnglish
000867484 1001_ $$0P:(DE-Juel1)165948$$aLintermann, Andreas$$b0$$ufzj
000867484 245__ $$aSurface Reconstruction of the Human Nasal Cavity from CT-Data for Fluid Mechanical Analysis of Breathing Problems$$f - 2008-12-01
000867484 260__ $$aAachen$$c2008
000867484 300__ $$a161
000867484 3367_ $$0PUB:(DE-HGF)10$$2PUB:(DE-HGF)$$aDiploma Thesis$$bdiploma$$mdiploma$$s1575391593_12992
000867484 3367_ $$02$$2EndNote$$aThesis
000867484 3367_ $$2DataCite$$aOutput Types/Supervised Student Publication
000867484 3367_ $$2DRIVER$$amasterThesis
000867484 3367_ $$2BibTeX$$aMASTERSTHESIS
000867484 3367_ $$2ORCID$$aSUPERVISED_STUDENT_PUBLICATION
000867484 502__ $$aDiplomarbeit, RWTH Aachen University, 2008$$bDiplomarbeit$$cRWTH Aachen University$$d2008
000867484 520__ $$aIn this diploma thesis, the accuracy of three-dimensional surface reconstructions of the human nasal cavity from Computer Tomography (CT) volume images is analyzed. For this purpose, a reconstruction pipeline is developed, allowing the extraction of the nasal cavity surface, which then can be used to carry out flow simulations to analyze breathing problems. The accuracy is examined by generating an artificial CT-image from a reference surface of the nasal cavity, approximating a real CT-image by applying filters and subsequently extracting a surface with the reconstruction pipeline. Error metrics are introduced to examine the distance between the reference and the generated surface giving information on the accuracy of the reconstructed surface. After the extraction of the raw surface from CT-data, a post-processing is necessary because of aliasing effects. The surface is smoothed with Laplacian or windowed sinc function smoothing. It is shown that the latter smoothing method allows a better approximation to the original surface without shrinking the surface as occuring in Laplacian smoothing. The curvature of the reconstructed surface is studied to obtain a measure of smoothness. The error produced under increasing CT-image resolution, using the surface obtained from the generated image, is also investigated. As expected, the error decreases under increasing the resolution. To examine the error of artifacts in CT-images, noise of a certain period and amplitude is su- perimposed to the CT-data, a surface is extracted and the error is calculated. Additionally, the volumetric change of the nasal cavity is correlated to this error, allowing an evaluation of the influence of artifacts. The results show that increasing noise is linearly correlated to a volumetric change of the nasal cavity and the surface error.
000867484 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0
000867484 8564_ $$uhttps://juser.fz-juelich.de/record/867484/files/Unknown%20-%202008%20-%20Surface%20Reconstruction%20of%20the%20Human%20Nasal%20Cavity%20from%20CT-Data%20for%20Fluid%20Mechanical%20Analysis%20of%20Breathing%20Problems%20-%20Lin.pdf$$yRestricted
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000867484 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165948$$aForschungszentrum Jülich$$b0$$kFZJ
000867484 9131_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vComputational Science and Mathematical Methods$$x0
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000867484 980__ $$adiploma
000867484 980__ $$aUSER
000867484 980__ $$aI:(DE-Juel1)JSC-20090406