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dc.contributor.authorKarimaghaloo, Zahraen
dc.date2008-09-27 08:26:41.682
dc.date2008-09-27 12:35:16.691
dc.date.accessioned2008-09-30T19:21:51Z
dc.date.available2008-09-30T19:21:51Z
dc.date.issued2008-09-30T19:21:51Z
dc.identifier.urihttp://hdl.handle.net/1974/1538
dc.descriptionThesis (Master, Electrical & Computer Engineering) -- Queen's University, 2008-09-27 12:35:16.691en
dc.description.abstractProstate cancer continues to be the most commonly diagnosed cancer among men. Brachytherapy has emerged as one of the definitive treatment options for early stage prostate cancer which entails permanent implantation of radioactive seeds into the prostate to eradicate the cancer with ionizing radiation. Successful brachytherapy requires the ability to perform dosimetry -which requires seed localization- during the procedure but such function is not available today. If dosimetry could be performed intraoperatively, physicians could implant additional seeds into the under-dosed portions of the prostate while the patient is still on the operating table. This thesis addresses the brachytherapy seed localization problem with introducing intensity based registration between transrectal ultrasound (TRUS) that shows only the prostate and a 3D seed model drawn from fluoroscopy that shows only the implanted seeds. The TRUS images are first filtered and compounded, and then registered to the seed model by using mutual information. A training phantom was implanted with 48 seeds and imaged. Various ultrasound filtering techniques were analyzed. The effect of false positives and false negatives in ultrasound was investigated by randomly masking seeds from the fluoroscopy volume or adding seeds to that in random locations. Furthermore, the effect of sparse and dense ultrasound data was analyzed by running the registration for ultrasound data with different spacing. The registration error remained consistently below clinical threshold and capture range was significantly larger than the initial guess guaranteed by the clinical workflow. This fully automated method provided excellent registration accuracy and robustness in phantom studies and promises to demonstrate clinically adequate performance on human data.en
dc.format.extent4105310 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen
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.subjectProstate brachytherapyen
dc.subjectBrachytherapy seedsen
dc.subjectTransrectal ultrasounden
dc.subjectMutual informationen
dc.subjectRegistrationen
dc.subjectProstate canceren
dc.subjectFluoroscopyen
dc.titleIntensity-based Fluoroscopy and Ultrasound Registration for Prostate Brachytherapyen
dc.typethesisen
dc.description.degreeM.Sc.en
dc.contributor.supervisorAbolmaesumi, Purangen
dc.contributor.supervisorFichtinger, Gaboren
dc.contributor.departmentElectrical and Computer Engineeringen
dc.degree.grantorQueen's University at Kingstonen


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