A Mix-resolution Bone-related Statistical Deformable Model (mBr-SDM) for Soft Tissue Prediction in Orthognathic Surgery Planning
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1358
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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minus Review:A mix resolution Bone related statistical deformation model for soft tissue prediction in Orthognathic surgery planning by Anonymous on 07-07-2008 for revision #1
starstarstarstarstar expertise: 4 sensitivity: 5
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Paper authors and title:

 A mix resolution Bone related statistical deformation model for soft tissue prediction in Orthognathic surgery planning Qizhen He et al. 

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:

(A)Accept

(B) Accept subject to minor revisions

(C)Accept with major revisions(D)Reject 

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:

  a)The FEM used, is it fully non-linear (finite deformation, constitutive law and non-linear boundary conditions)? b)How have the authors determined appropriate boundary conditions for the model? The deviations in results with increased samples [Fig 4 (b)]  could be due to inappropriate boundary conditions used in the FEM.

 

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Categories: Mathematics, Point distribution models, Statistical shape models
Keywords: Orthognathic Surgery, Surgical Planning, Finite Element Model, Statistical Model, Mix-resolution Br-SDM
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