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dc.contributor.authorNorthway, Cassidy
dc.date.accessioned2020-08-17T12:41:00Z
dc.date.available2020-08-17T12:41:00Z
dc.date.issued2020-08-17T12:41:00Z
dc.identifier.urihttp://hdl.handle.net/10222/79656
dc.description.abstractThis thesis presents a system that determined patient-specific collision zones (CZs) to enable safe and deliverable non-coplanar treatment trajectories for stereotactic body radiation therapy (SBRT) patients. Full body scans of patients in treatment position were acquired using an optical scanner, creating a library of scans to augment CT scans. This resulted in a patient model that was aligned with a model of the treatment LINAC, where both components were rotated to test for collisions. To test collision detection accuracy an end-to-end cranial test was performed. The buffer sized required during the registration process to achieve a sensitivity of one was determined via a registration accuracy test. Incorporating the patient-specific CZs, non-coplanar treatment plans were created and compared to clinical coplanar plans for SBRT lung patients (N = 8). A statistically significant change in the mean dose to the lungs was found. Our study indicated that determining patient-specific CZs can be accomplished enabling safe non-coplanar treatment plans.en_US
dc.language.isoenen_US
dc.subjectMedical Physicsen_US
dc.subjectStereotactic Body Radiation Therapyen_US
dc.titlePatient-Specific Collision Zones for 4π Trajectory Optimized Radiation Therapyen_US
dc.typeThesisen_US
dc.date.defence2020-08-05
dc.contributor.departmentDepartment of Physics & Atmospheric Scienceen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Theodore Moncheskyen_US
dc.contributor.thesis-readerDr. Alasdair Symeen_US
dc.contributor.thesis-readerDr. Krista Chytyk-Prazniken_US
dc.contributor.thesis-supervisorDr. Christopher Thomasen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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