3D reconstruction of individual anatomy from medical image data: Segmentation and geometry processing

Please always quote using this URN: urn:nbn:de:0297-zib-10440
  • 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.

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Metadaten
Author:Stefan Zachow, Michael Zilske, Hans-Christian Hege
Document Type:ZIB-Report
Tag:Medical image segmentation; computational geometry; finite element meshes; virtual anatomy
Date of first Publication:2007/12/05
Series (Serial Number):ZIB-Report (07-41)
ISSN:1438-0064
Published in:Appeared on CD-ROM: 25. ANSYS Conference & CADFEM Users' Meeting, Dresden, 2007, Proc. CD 2.12.15