Abstract
In this paper, we propose a Mix-resolution Bone-related Statistical Deformable Model (mBr-SDM) to improve the predicting accuracy of orthognathic surgery, particularly for the main deformation region. Mix-resolution Br-SDM consists of two separate Br-SDM of different resolutions: a high-resolution Br-SDM which is trained with more samples to capture the detail deforming variations in the main deforming regions of interest, together with a low-resolution Br-SDM which is trained with a smaller number of samples to capture the major variations of the remaining facial points. The experiments have shown that the mix-resolution Br-SDM is able to significantly reduce the predicting error compared with the corresponding Finite Element Model, while giving a low computational cost which is characteristic of the SDM approach.
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Reviews
Tonmoy Dutta roy
Monday 7 July 2008
Paper authors and title: Please, rank the following on the scale from 1 (worst) to 5 (best) Originality 3 Methodological originality 3 Biologic originality 3 Completeness of discussion 3 Appropriate references 3 Organisation 3 Clarity 4 Is the technical treatment plausible and free from technical errors? Yes Have you checked the equations NA Are you aware of prior publication or presentation of this work No Is the paper too long No Recommendation: (B) Accept subject to minor revisions Accept with major revisions Should this paper be presented as poster or as podium presentation (this recommendation does not reflect upon the relative quality of the paper)? Poster Comments to the manuscript: An interesting approach to solving complicated solid mechanics problems. I have a few comments: References