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dc.contributor.authorGhanavati, Sahar
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
dc.date2010-08-23 17:57:24.708en
dc.date.accessioned2010-08-24T13:53:25Z
dc.date.available2010-08-24T13:53:25Z
dc.date.issued2010-08-24T13:53:25Z
dc.identifier.urihttp://hdl.handle.net/1974/5982
dc.descriptionThesis (Master, Electrical & Computer Engineering) -- Queen's University, 2010-08-23 17:57:24.708en
dc.description.abstractTotal Hip Replacement (THR) has become a common surgical procedure in recent years, due to the increase in the aging population with hip osteoarthritis. Identifying the proper orientation of the pelvis is a critical step in accurate placement of the femur prosthesis in the acetabulum in THR. The general approach to localize the orientation of the pelvic anatomical coordinate system (PaCS) is to use intra-operative X-ray fluoroscopy in a specialized interventional radiology facility to guide the procedure. Employing intra-operative ultrasound (US) imaging fused with pre-operative CT scan or fluoroscopy imaging was proposed to eliminate the ionizing radiation of intra-operative X-ray to the patient and the need for radiology facilities in the OR. However, the use of pre-operative imaging exposes patients to accumulative ionizing radiation which is desirable to be eliminated. In this thesis, I propose to replace pre-operative imaging with a statistical shape model (SSM) of the pelvis which is constructed from CT images of patients. An automatic deformable registration of a pelvis anatomical shape model to a sparse set of 2D ultrasound images of the pelvis is presented in order to localize the PaCS. In this registration technique, a set of 2D slices are extracted from the pelvic shape model, based on the approximate location and orientation of a corresponding 2D ultrasound image. The comparison of the shape model slices and ultrasound images is made possible by using an ultrasound simulation technique and a correlation-based similarity metric. During the registration, an instance of the shape model is generated that best matches the ultrasound data. I demonstrate the feasibility of our proposed approach in localizing the PaCS on four patient phantoms and on data from two male human cadavers. None of the test data sets were included in the SSM generation.en
dc.languageenen
dc.language.isoenen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectPelvic Anatomical Coordinate Systemen
dc.subjectStatistical Shape Modelen
dc.subjectPelvisen
dc.subjectUltrasounden
dc.titleLocalization of Human Pelvis Anatomical Coordinate System Using Ultrasound Registration to Statistical Shape Modelen
dc.typeThesisen
dc.description.degreeMasteren
dc.contributor.supervisorAbolmaesumi, Purangen
dc.contributor.supervisorMousavi, Parvinen
dc.contributor.supervisorFichtinger, Gaboren
dc.contributor.departmentElectrical and Computer Engineeringen


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