Abstract
Compactly supported radial basis functions (RBFs) were used for surface reconstruction of in vivo geometry, translated from two dimensional (2D) medical images. RBFs provide a flexible approach to interpolation and approximation for problems featuring unstructured data in three-dimensional space. Point-set data are obtained from the contour of segmented 2-D slices. Multilevel RBFs allow smoothing and fill in missing data of the original geometry while maintaining the overall structure shape.
| Original language | English (US) |
|---|---|
| Article number | IMECE2004-62018 |
| Pages (from-to) | 183-184 |
| Number of pages | 2 |
| Journal | Advances in Bioengineering, BED |
| DOIs | |
| State | Published - 2004 |
| Externally published | Yes |
| Event | 2004 ASME International Mechanical Engineering Congress and Exposition, IMECE - Anaheim, CA, United States Duration: Nov 13 2004 → Nov 19 2004 |
ASJC Scopus subject areas
- General Engineering