Abstract
The proposed algorithm has been developed as a pre-processing tool for inflating cortical surface meshes, which have been created using segmentation and subsequent triangulation of magnetic resonance images (MRI) [1]. It works directly on the triangulated surface and is therefore completely independent from the underlying segmentation. It needs no other information than the triangle mesh itself, which makes it generally applicable for the removal of topological noise. The homeomorphism between cortical surface and sphere is re-established by removing handles and opening connections. Moreover, the presented approach guarantees a manifold mesh by locally examining connectivity in the neighbourhood of each vertex and removing non-manifold components. It will be embedded into the source reconstruction software package CURRY (Compumedics Neuroscan, El Paso, TX, USA).
| Original language | English |
|---|---|
| Title of host publication | Bildverarbeitung für die Medizin 2006 |
| Number of pages | 5 |
| Publisher | Springer Berlin Heidelberg |
| Publication date | 01.12.2006 |
| Pages | 286-290 |
| ISBN (Print) | 978-3-540-32136-1 |
| ISBN (Electronic) | 978-3-540-32137-8 |
| DOIs | |
| Publication status | Published - 01.12.2006 |
| Event | Workshops Bildverarbeitung fur die Medizin 2006 - Hamburg, Germany Duration: 19.03.2006 → 21.03.2006 Conference number: 97563 |
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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