Michael Albert (Committee Member), Tarun Goswami (Advisor), Thomas Hangartner (Committee Member), David Reynolds (Committee Member)
Master of Science in Engineering (MSEgr)
An understanding of the dimensional anatomy of the cervical spine is necessary in order to help diagnose disease, deformity, injury, and device development. Previous investigation has been completed utilizing cadavers, X-rays and other imaging techniques. This research utilized computer tomography images from the trauma registry at Miami Valley Hospital in Dayton, Ohio to complete an anthropometric study of the cervical spine. Linear mathematical models were developed to investigate the relationships present in the dimensional anatomy of the cervical spine. New measurements were completed on subjects of both Caucasian and African American descent and of both genders. An approximation of the moment of inertia for the vertebral body was developed along with a computer program to predict anthropometric features. Statistical analysis on published data revealed 128 of 3000 and 133 of 2760 comparisons were significant. Similar trends were found to the measurement carried out with the CT data for this research.
Department or Program
Department of Biomedical, Industrial & Human Factors Engineering
Year Degree Awarded
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