Cone-Beam Computed Tomography for the Evaluation of Craniofacial Variation and Dysmorphology
Brown Bag Lecture by Denise Liberton, Ph.D. | 7/24/2018 11:00AM – 12PM | 7th Floor Conference Room, Bldg 38A
Cone-beam computed tomography (CBCT) is an increasingly common three-dimensional imaging modality used in dental clinics to evaluate the skull – due to its low cost, low radiation dose and ease of use. We are building normative and syndromic CBCT datasets with the long-term goals of 1) predicting craniofacial growth, 2) understanding the effects of genetic mutations on the development of the skull, and 3) diagnosing individuals with dysmorphologies and/or rare diseases. Currently, there are not standard analytical pipelines or normative datasets available for craniofacial CBCT and much of the image processing and analysis is still manual or semi-automated. We will discuss these issues and provide an overview of our CBCT datasets, and are seeking feedback on where machine learning approaches may improve our workflow and help us answer these and other research questions involving the development of the human skull.
Dr. Liberton is a research fellow in the Craniofacial Anomalies and Regeneration Section in NIDCR and works with the Dental Clinic. She received her B.A in Biology at Johns Hopkins University and her M.A. and Ph.D. in Biological Anthropology from Pennsylvania State University. Her research interests are human craniofacial variation, genotype-phenotype correlation, and morphometrics, which is the statistical analysis of shape and form.