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Title: Image processing for plastic surgery planning
Author: Favaedi, Leila
ISNI:       0000 0004 2692 0147
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2010
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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.
Supervisor: Petrou, Maria Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral