Sökning: "Radiation Therapy Optimization"
Visar resultat 1 - 5 av 37 avhandlingar innehållade orden Radiation Therapy Optimization.
1. Toward Robust Optimization of Adaptive Radiation Therapy
Sammanfattning : Adaptive radiation therapy is an evolving cancer treatment approach which relies on adapting the treatment plan in response to patient-specific interfractional geometric variations occurring during the fractionated treatment. If those variations are not addressed through adaptive replanning, the resulting treatment quality may be compromised. LÄS MER
2. Multicriteria optimization for managing tradeoffs in radiation therapy treatment planning
Sammanfattning : Treatment planning for radiation therapy inherently involves tradeoffs, such as between tumor control and normal tissue sparing, between time-efficiency and dose quality, and between nominal plan quality and robustness. The purpose of this thesis is to develop methods that can facilitate decision making related to such tradeoffs. LÄS MER
3. Robust optimization of radiation therapy accounting for geometric uncertainty
Sammanfattning : Geometric errors may compromise the quality of radiation therapy treatments. Optimization methods that account for errors can reduce their effects.The first paper of this thesis introduces minimax optimization to account for systematic range and setup errors in intensity-modulated proton therapy. LÄS MER
4. Automated radiation therapy treatment planning by increased accuracy of optimization tools
Sammanfattning : Every radiation therapy treatment is preceded by a treatment planning phase. In this phase, a treatment plan that specifies exactly how to irradiate the patient is designed by the treatment planner. LÄS MER
5. Utilizing Problem Structure in Optimization of Radiation Therapy
Sammanfattning : In this thesis, optimization approaches for intensity-modulated radiation therapy are developed and evaluated with focus on numerical efficiency and treatment delivery aspects. The first two papers deal with strategies for solving fluence map optimization problems efficiently while avoiding solutions with jagged fluence profiles. LÄS MER