Dear Miguel, Potentially you can use a model of full tooth, and your segmentation, import both of them into 3D Slicer as segmentaitons and use the Segment Register module to register and fuse them. There are other ways of doing this too. The more important questions is what do you expect this method to achieve, and what does this reconstruction will do to your data and analysis?
You say, you want to use a landmark-free automatic shape analysis method to analyze your data. Given that your existing data is essentially only the crown of the tooth, and if you reconstruct your models in a way that I describe above (or some similar way), and feed this data into some landmark-free analysis, you will have 90+% of your data coming from regions that are estimated. You should think about what would that mean for your results (and this is assuming you get a reasonable estimate of a full tooth to begin with). Instead, what would probably work better is actually find a common region across your existing samples. You can register them into a common coordinate, and crop in that space so that every model only contains the same region across your samples and then run your landmark-free analysis on these cropped models. This still would have some issues, but at least you will be comparing actual data. You can also do this in 3D Slicer / SlicerMorph, alternatively probably in Meshlab and in R using Morpho and Rvcg libraries. On Tuesday, December 15, 2020 at 9:26:33 AM UTC-8 [email protected] wrote: > Dear Morphometricians, > > > I'm working on 3D meshes of dental plaster casts to investigate human > dental shape variation using free-landmark methods. Through an automatic > segmentation process I obtained individual meshes of each tooth, however > given the nature of plaster casts all 3D meshes are incomplete (for > instance large holes in the mesial and distal parts of a tooth given the > interproximal contact)(please see attached picture). Thus, I'm looking > for some methods, packages or software to automatically complete each 3D > mesh using a template. I need an automatic method because I’m investigating > thousands of individuals simultaneously. I know there are some interesting > options like MeshMonk, but unfortunately I got poor results because > MeshMonk is designed to work with 3D meshes from faces which are much less > complex structures than a tooth. I'm wondering if someone can suggest some > packages in R, Matlab, Mathematica or specific software to reconstruct > missing parts of a 3D mesh using a complete template. Suggestions are very > much appreciated. > > Thanks in advance. > > Miguel > > > -- > Miguel Delgado Ph.D. > National Council of Scientific and Technical Research > Adjunct Professor of Biological Anthropology > Anthropology Division, Faculty of Natural Sciences and Museum, > National University of La Plata, Argentina > Ministry of Education Key Laboratory of Contemporary Anthropology > Collaborative Innovation Center of Genetics and Development > School of Life Sciences and Human Phenome Institute > Fudan University, Shanghai, China > Phone: +54 2214191107 <+54%20221%20419-1107> > E-mail: [email protected], [email protected] > Website:https://www.researchgate.net/profile/Miguel_Delgado15 > <https://www.researchgate.net/profile/Miguel_Delgado15> > -- You received this message because you are subscribed to the Google Groups "Morphmet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/morphmet2/899ac525-b685-46d6-900e-36f5aafe873dn%40googlegroups.com.
