Innovative applications of kilovoltage imaging in image -guided lung cancer radiotherapy
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USyd Access
Type
ThesisThesis type
Doctor of PhilosophyAuthor/s
Shieh, Chun-ChienAbstract
Radiotherapy 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 ...
See moreRadiotherapy 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.
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See moreRadiotherapy 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.
See less
Date
2015-12-09Licence
The 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.Faculty/School
Faculty of Science, School of PhysicsAwarding institution
The University of SydneyShare