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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/135

Title: FUZZY LOGIC MANDIBLE DATABASE FOR MAXILLO FACIAL SURGERY
Authors: Sara Mohd Khanafiah
Keywords: Mandible
Issue Date: Nov-2006
Abstract: The mandible bone plays a prominent role functionally and cosmetically. In terms of the cosmetic aspect, it shapes the lower part of the jaw. The deformation or damage to the mandible will affect the aesthetics of the face and cause embarrassment, affect their self confidence and the functions related to the mandible. Hence, it is important that damages to mandibles are corrected or replaced with an artificial mandible of similar shape and parameters, to the original mandible. Where the damage is partial and is wholly located either on the left or right of the symmetry line of the skull, the technique of mirror reflection can be used, by completely reconstructing the damaged half of the mandible. There are existing softwares for this purpose. The problem is when the damage to the mandible stretches beyond the left or right half, making it impossible to reconstruct the full mandible. In such situation, a nondeterministic database of mandibles categorized in terms of gender, race, age and its’ related parameters, will be useful in order to obtain the bestmatched mandible. The query will be the parameters of the partial existing mandible. The objective of the research is to study the feasibility of creating a nondeterministic fuzzy database. The results indicate that the concept of a nondeterministic fuzzy database is promising and has prospects. Although the results are not conclusive - due to the availability of limited data, but it is worth explaining further with more data obtained through a population survey.
Description: Master of Science
URI: http://dspace.fsktm.um.edu.my/handle/1812/135
Appears in Collections:Masters Dissertations: Computer Science

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