3D Simulation of Facial Cancer Surgey

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This project aims at prediction of patient's face after removal of facial cancer. There are varieties of cancer on the face and neck. A patient and his/her family are very conscientious of the facial appearance. Therefore it is desirable for them to know how to the appearance will be before actual operation of surgery. For the purpose, we set three research topics : (1) modeling of soft objects such as face and neck, (2) texture acquisition of patient's face, and (3) 3D facial prediction after surgery. For the first topic, we decided to employ a spring network model for simulating soft tissues because its alternative, the finite element method, requires much more computation. Here it is important to determine network structure and spring constants in the model to simulate tissue softness. For the second topics, we decided to use three camera images : a frontal and two side view images since CT images do not contain facial color. For the third topic, the post-surgery appearance is predictable by cutting the springs corresponding to the part where surgery is performed. A system has been constructed for this project. Several results were obtained and shown to doctors involved in the face and neck surgery, East Hospital, National Cancer Center. Good to excellent ratings were given to the results.