This thesis presents some image processing tools for plastic surgery planning. In particular, it presents a novel method that combines local and global context in a probabilistic relaxation framework to identify cephalometric landmarks used in Maxillofacial plastic surgery. It also uses a method that utilises global and local symmetry to identify abnormalities in CT frontal images of the human body. The proposed methodologies are evaluated with the help of several clinical data supplied by collaborating plastic surgeons.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:522207 |
| Date | January 2010 |
| Creators | Favaedi, Leila |
| Contributors | Petrou, Maria |
| Publisher | Imperial College London |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/10044/1/6063 |
Page generated in 0.0019 seconds