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Multi-Atlas Segmentation Of The Facial Nerve, Bradley M. Gare
Multi-Atlas Segmentation Of The Facial Nerve, Bradley M. Gare
Electronic Thesis and Dissertation Repository
Medical image segmentation is an important step to identify the shape and position of patient anatomy prior to surgical simulation, surgical rehearsal, and surgical planning. It is crucial that the facial nerve (FN) is segmented accurately as damage to this nerve can severely impact facial expression, speech, and taste. Manual segmentation provides accurate results but is time-consuming and labor-intensive; semi-automatic methods of segmentation are more feasible in a clinical setting and can provide accurate results with minimal user involvement. The objective of this work was to create a novel, open-source, multi-atlas based segmentation algorithm of the entire FN requiring minimal …
Development Of A Force-Based Ream Vector Measurement System For Glenoid Reaming Simulation, David Axford
Development Of A Force-Based Ream Vector Measurement System For Glenoid Reaming Simulation, David Axford
Electronic Thesis and Dissertation Repository
Glenoid reaming is a technically challenging step during total shoulder arthroplasty surgery that may be improved through frequent practice and exposure to simulation training. At our institution, a vibration haptic glenoid reaming simulator is being developed that simulates the vibrations felt during glenoid reaming. This thesis presents the development of a force-based reamer vector measurement system that allows the simulator to measure the user’s net applied force and reamer angle of approach. This capability allows for the simulation of eccentric reaming maneuvers commonly used to adjust the glenoid orientation. The system error was characterized and evaluated using a robot to …