47
deu
masterthesis
Freie Universität Berlin
0
2008-07-01
2008-07-01
--
Adaptives Remeshing von nicht-mannigfaltigen Dreiecksnetzen
Adaptive remeshing of non-manifold triangle meshes
In dieser Arbeit wird eine Serie von Remeshing-Verfahren um die Berücksichtigung von nicht-mannigfaltigen Dreiecksvernetzungen und Merkmalskantenzügen erweitert. Die betrachteten Verfahren arbeiten im Wesentlichen lokal. Daher können die im Rahmen dieser Arbeit entwickelten Erweiterungen, die nicht-mannigfaltige Kantenzüge und Merkmalskantenzüge betreffen, separat beschrieben werden. Dabei wird ein Ansatz verfolgt, beide Arten von besonderen Kantenzügen aufgrund ihrer Gemeinsamkeiten einheitlich zu behandeln. Dieser besteht zum einen darin, eine Korrespondenz zwischen Kantenzügen auf der Eingabe- und der Ausgabefläche zu erhalten, indem die Remeshing-Operationen auf den Kantenzügen in entsprechend eingeschränkter Weise verwendet werden. Zum anderen wird beschrieben, wie die Abtastdichte der Kantenzüge dynamisch an die Abtastdichte der Umgebung angepasst werden kann, um für weitgehende Isotropie in der Nähe von Merkmalskantenzügen zu sorgen.
A unified approach for consistent remeshing of arbitrary non-manifold triangle meshes with additional user-defined feature lines is presented. The method is based on local operations only and produces meshes of high regularity and triangle quality while preserving the geometry as well as topology of the feature lines as well as the input mesh.
1109
urn:nbn:de:0297-zib-474
Michael Zilske
unknown unknown
Konrad Polthier
Hans Lamecker
Stefan Zachow
deu
uncontrolled
Vernetzung
deu
uncontrolled
Merkmalslinien
deu
uncontrolled
Knotendichte
deu
uncontrolled
Topologie
deu
uncontrolled
Dreiecksqualität
eng
uncontrolled
meshing
eng
uncontrolled
feature lines
eng
uncontrolled
node density
eng
uncontrolled
topology
eng
uncontrolled
triangle quality
Datenverarbeitung; Informatik
Studienabschlussarbeiten
Visual Data Analysis
MATHEON-F2
Visual and Data-centric Computing
Zuse Institute Berlin (ZIB)
https://opus4.kobv.de/opus4-zib/files/47/zilske_diplom_2007.pdf
1044
eng
reportzib
0
2007-12-05
2007-12-05
--
3D reconstruction of individual anatomy from medical image data: Segmentation and geometry processing
For medical diagnosis, visualization, and model-based therapy planning three-dimensional geometric reconstructions of individual anatomical structures are often indispensable. Computer-assisted, model-based planning procedures typically cover specific modifications of “virtual anatomy” as well as numeric simulations of associated phenomena, like e.g. mechanical loads, fluid dynamics, or diffusion processes, in order to evaluate a potential therapeutic outcome. Since internal anatomical structures cannot be measured optically or mechanically in vivo, three-dimensional reconstruction of tomographic image data remains the method of choice. In this work the process chain of individual anatomy reconstruction is described which consists of segmentation of medical image data, geometrical reconstruction of all relevant tissue interfaces, up to the generation of geometric approximations (boundary surfaces and volumetric meshes) of three-dimensional anatomy being suited for finite element analysis. All results presented herein are generated with amira ® – a highly interactive software system for 3D data analysis, visualization and geometry reconstruction.
07-41
1438-0064
1072
urn:nbn:de:0297-zib-10440
Appeared on CD-ROM: 25. ANSYS Conference & CADFEM Users' Meeting, Dresden, 2007, Proc. CD 2.12.15
Stefan Zachow
unknown unknown
Michael Zilske
Hans-Christian Hege
ZIB-Report
07-41
eng
uncontrolled
Medical image segmentation
eng
uncontrolled
computational geometry
eng
uncontrolled
virtual anatomy
eng
uncontrolled
finite element meshes
Datenverarbeitung; Informatik
Visual Data Analysis
Hege, Hans-Christian
Zachow, Stefan
DFG-SeptCom-Ammonoids
Rhino-CFD
Visual and Data-centric Computing
https://opus4.kobv.de/opus4-zib/files/1044/ZR_07_41.pdf
4140
2007
2007
eng
masterthesis
Freie Universität Berlin, Fachbereich Mathematik und Informatik (K. Polthier) und ZIB (S. Zachow, Hans Lamecker)
0
--
--
--
Adaptive remeshing of non-manifold triangulations
Adaptives Remeshing von nicht-mannigfaltigen Dreicksnetzen
Michael Zilske
Konrad Polthier
Hans Lamecker
Stefan Zachow
Studienabschlussarbeiten
Visual Data Analysis
Therapy Planning
MATHEON-F2
Visual and Data-centric Computing
3771
2008
2008
eng
207
211
conferenceobject
0
--
--
--
Adaptive Remeshing of Non-Manifold Surfaces
Eurographics 2008 Annex to the Conf. Proc.
urn:nbn:de:0297-zib-9445
Michael Zilske
Hans Lamecker
Stefan Zachow
Visual Data Analysis
Therapy Planning
Lamecker, Hans
Zachow, Stefan
MATHEON-F2
Visual and Data-centric Computing
3789
2007
2007
eng
conferenceobject
Dresden
0
--
--
--
3D Reconstruction of Individual Anatomy from Medical Image Data: Segmentation and Geometry Processing
25. ANSYS Conference & CADFEM Users’ Meeting
urn:nbn:de:0297-zib-10440
Stefan Zachow
Michael Zilske
Hans-Christian Hege
Visual Data Analysis
Therapy Planning
Hege, Hans-Christian
Zachow, Stefan
DFG-SeptCom-Ammonoids
Visual and Data-centric Computing
944
eng
reportzib
0
2007-01-02
2007-01-02
--
Adaptive Remeshing of Non-Manifold Surfaces
We present a unified approach for consistent remeshing of arbitrary non-manifold triangle meshes with additional user-defined feature lines, which together form a feature skeleton. Our method is based on local operations only and produces meshes of high regularity and triangle quality while preserving the geometry as well as topology of the feature skeleton and the input mesh.
07-01
944
urn:nbn:de:0297-zib-9445
Appeared in: Eurographics 2008 Annex to the Conf. Proc., 2008, pp. 207-211
Michael Zilske
Hans Lamecker
Stefan Zachow
ZIB-Report
07-01
eng
uncontrolled
remeshing
eng
uncontrolled
non-manifold
eng
uncontrolled
mesh quality optimization
Informatik, Informationswissenschaft, allgemeine Werke
Picture/Image Generation
Segmentation
Feature Measurement
DIFFERENTIAL GEOMETRY (For differential topology, see 57Rxx. For foundational questions of differentiable manifolds, see 58Axx)
None of the above, but in this section
Visual Data Analysis
Lamecker, Hans
Zachow, Stefan
MATHEON-F2
Visual and Data-centric Computing
https://opus4.kobv.de/opus4-zib/files/944/ZR_07_01.pdf