Abstract
In this paper, we propose a computer-aided orthognathic surgery planning method which aggregates satisfying and unsatisfying examples obtained from past cases. In orthognathic surgeries, from a viewpoint of facial aesthetic improvement, unsatisfying cases sometimes occur unfortunately. In order to accomplish appropriate surgery planning, information from not only satisfying cases but also unsatisfying cases should be utilized effectively. To realize this, the modified version of the Self-Organizing Relationship Network (SORN) is employed. The network extracts a desirable input/output relationship from both satisfying and unsatisfying examples. Furthermore, some post-processing (e.g. clustering method by image processing) are implemented for effective visualization of the learning results. The proposed method is combined to profilograms for constructing a surgery planning system, and the system is qualitatively evaluated.
