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Masters Dissertations: Computer Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1812/73
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| Title: | A FINITE ELEMENT APPROACH FOR THE PLANNING AND SIMULATION OF 3D MANDIBULAR OSTEOTOMY FOR ORTHOGNATHIC SURGERY |
| Authors: | Obaidellah, Unaizah Hanum |
| Keywords: | Image processing Virtual orthognathic surgery |
| Issue Date: | Oct-2006 |
| Abstract: | Facial deformities caused by accidents or malformation at birth highly influence the
appearance and functionality aspects of an individual. Self-confidence and interpersonal
relationships in addition to the ability of breathing, biting and speaking are the few factors
affected by facial disharmony. Often corrective surgery known as orthognathic surgery is
performed to resolve this issue. Careful and precise surgery planning is mandatory to
ensure the success of a surgery that leads to a change in the facial morphology of an
individual. The current technique used by craniofacial surgeons for predicting a patient’s
post operative facial appearance is done by sketches on 2D lateral x-ray images resulting to
less-accurate and unrealistic picture, thus leading to the need of a more realistic
computerized 3D picture.
Therefore, this dissertation presents a prototype system for the surgery planning involving
bone cutting and repositioning particular to the human mandible as well as the prediction of
the facial changes through simulation of the virtual orthognathic surgery. Actual
preoperative patient data of Asian ethnicity is used and a computerized facial model is
derived under the guidance of image processing methods in Mimics. The finite element
method (FEM) available in MSC.AFEA is employed to accommodate numerical solution
for mathematical formulations used for representing material properties of biological
tissues. In addition, the contact analysis of FEM predicts the facial changes due to the
underlying mandibular repositioning through dependant association in between the bone
and the tissue. Results of the simulated facial appearance are presented using Amira and
compared with the actual postoperative photograph. |
| Description: | Master of Computer Science |
| URI: | http://dspace.fsktm.um.edu.my/handle/1812/73 |
| Appears in Collections: | Masters Dissertations: Computer Science
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