2016 Winter Project Week/Projects/SlicerCMFNextSteps
In the Dental and Craniofacial Bionetwork for Image Analysis we bring together clinical dental researchers, computer scientists and engineers from NA-MIC, to address the following gaps between clinical choices and effective treatments in dentistry: (a) a lack of quantitative imaging biomarkers of bone structure; (b) limitations in techniques to assess treatment effects and quantify degradation or repair of bone; (c) a lack of software and training for the use in dental clinical practice management.
We work to integrate and share imaging quantitative methodology in Dentistry, supporting patient-specific decision making and assessment of the disease progression via registration of serial images. We have developed SlicerCMF (Craniomaxillo facial Slicer) including only computational algorithms that provides open source dental image analysis to 3DSlicer users.
Our long-term goals are to aid the decision process of treatment procedures, allow translation of basic science developments into the clinical field with efficient engineering solutions, and train both young clinical image specialists and experienced clinical researchers on the new tools and techniques.
This work is being supported by the National Institute of Dental & Craniofacial Research and the National Institute of Biomedical Imaging and Bioengineering under Award Number R01DE024450.
- Lucia Cevidanes: University of Michigan. Department of Pediatric and Orthodontic Dentistry.
- Beatriz Paniagua: University of North Carolina at Chapel Hill. Departments of Psychiatry, Computer Science and Orthodontics.
- Steve Pieper: Isomics, Inc.
- Juan Carlos Prieto: University of North Carolina at Chapel Hill. Department of Psychiatry.
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Background and References
- DCBIA Homepage: https://sites.google.com/a/umich.edu/dentistry-image-computing/
- DCBIA Youtube page: https://www.youtube.com/user/DCBIA