|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1358|
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)
Methodological originality 3
Biologic originality 3
Completeness of discussion 3
Appropriate references 3
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
(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)?
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.
|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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