Abstract
A method for an automatic reliable and precise detection of anatomical landmarks based on triangulated surface models of bone structures is presented. By means of a surface-based registration procedure, manually specified landmarks on the atlas surface are transferred automatically to the patient's surface. In a pre-processing step, initial landmark positions on the patient's surface are automatically determined to restrict the registration to a surface area. During the registration process, apart from the Euclidean distances of the surface points, the surface-normals and a new local curvature measure for triangulated surfaces are used. Finally, an evaluation of the proposed method is presented.
| Original language | English |
|---|---|
| Journal | International Congress Series |
| Volume | 1256 |
| Issue number | C |
| Pages (from-to) | 99-104 |
| Number of pages | 6 |
| ISSN | 0531-5131 |
| DOIs | |
| Publication status | Published - 01.06.2003 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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