- Biomedical Imaging and Image Processing
- Health Informatics
- Computer Vison
- Pattern Recognition and Machine Learning
- Data Processing and Visualization
M.S. Thesis: The aim of this study is to use cranial suture analysis and intracranial volume asymmetries for synostosis and risk factor assessment using cranial CT scans and logistic regression modeling. We hypothesize that analysis of cranial CT scans will allow us to distinguish different types of craniosynostosis, from onset to full presentation of symptoms, and assess a patient's risk of surgical complications including re-synostosis of the affected suture.