Show simple item record

FieldValueLanguage
dc.contributor.authorShieh, Chun-Chien
dc.date.accessioned2016-02-08
dc.date.available2016-02-08
dc.date.issued2015-12-09
dc.identifier.urihttp://hdl.handle.net/2123/14333
dc.description.abstractRadiotherapy is one of the most efficient and cost-effective treatments of cancer. To ensure accurate radiation delivery, there is a need for image guidance technologies to monitor tumor motion during radiotherapy treatment. This need is especially compelling in the case of lung cancer, where respiratory motion challenges accurate treatment delivery. This thesis presents the development of frontier technologies for image-guided lung cancer radiotherapy using kilovoltage imaging. Specifically, this thesis focuses on: 1. Improving 4-dimensional cone-beam CT (4D CBCT) image quality for more effective pre-treatment imaging. 2. Developing a non-invasive and widely applicable in-treatment imaging method. This thesis consists of three main studies. The first study investigated the impacts of several factors on the image quality of 4D CBCT, which is currently suboptimal for clinical applications. It was found that improving 4D CBCT reconstruction algorithms is the most effective strategy. The second study developed a novel 4D CBCT reconstruction method that significantly improves image quality compared to the current standard and existing noise reduction algorithms. The proposed method could leverage the usability of 4D CBCT in current clinical practice. The third study developed an innovative markerless tumor tracking algorithm that could make more patients eligible for non-invasive in-treatment motion monitoring. The method is able to track tumors that are otherwise challenging to identify on kilovoltage images, and also achieves better localization accuracy than the current clinical standard. The body of work presented in this thesis lays the technological foundation for widely applicable next-generation image guidance techniques. Retrospective pavtient studies have demonstrated the benefits of the presented methods in current lung radiotherapy treatments. Future development includes the prospective and clinical implementation of these technologies.en_AU
dc.rightsThe author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.en_AU
dc.subjectradiotherapyen_AU
dc.subjectmedical imagingen_AU
dc.subjectlung canceren_AU
dc.subjectmotion managementen_AU
dc.subjectimage reconstructionen_AU
dc.subjecttarget trackingen_AU
dc.titleInnovative applications of kilovoltage imaging in image -guided lung cancer radiotherapyen_AU
dc.typeThesisen_AU
dc.date.valid2016-01-01en_AU
dc.type.thesisDoctor of Philosophyen_AU
usyd.facultyFaculty of Science, School of Physicsen_AU
usyd.degreeDoctor of Philosophy Ph.D.en_AU
usyd.awardinginstThe University of Sydneyen_AU


Show simple item record

Associated file/s

Associated collections

Show simple item record

There are no previous versions of the item available.