Treatment plan optimization for rotating-shield brachytherapy
نویسندگان
چکیده
In this thesis, we aim to develop fundamentally new techniques and algorithms for efficiently computing rotating-shield brachytherapy (RSBT) treatment plans. We propose that these algorithms will pave the way for making RSBT available in clinical practices. RSBT is an intensity modulated high-dose-rate brachytherapy (HDR-BT) technique. Theoretically, RSBT offers advantages over the conventional HDR-BT. Although this technique is promising in theory, its application in practice is still at an early stage. The RSBT technique entails rotating a radiation-attenuating shield about a brachytherapy source to directionally modulate the radiation in an optimized fashion. The unshielded brachytherapy source used in conventional HDR-BT delivers radially symmetric dose distributions, thus the intensity modulation capability of the conventional HDR-BT is limited. With the capability of making anisotropic radiation, RSBT will revolutionize the brachytherapy technique through superior dose conformity, increased flexibility and inherent accuracy. Due to the enhanced power of intensity-modulation, RSBT will also enable dose escalation without increasing toxicity to the organs-at-risk, thus improving quality of life for millions of cancer patients. Although the first conceptual RSBT method was proposed more than ten years ago, there are still tremendous challenges for applying it in clinical practices. Creating efficient and automated treatment planning system is one of the major
منابع مشابه
SU-E-T-606: Optimal Emission Angle Selection in Rotating Shield Brachytherapy.
PURPOSE In this work a general method is presented that enables clinicians to rapidly select Rotating shield brachytherapy (RSBT) emission angles based on the patient-specific tradeoff between delivery time and tumor dose conformity. Cervical cancer cases are used as examples. METHODS Anchor plans with high dose conformity but infeasible delivery times are generated with a fine emission angle...
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ii ACKNOWLEDGEMENTS I would like to give my sincere thanks to all who help me to finish this thesis: To Ryan Flynn for his direction, patience and the great support throughout my master study. To Yusung Kim for his generous help on the clinical knowledge and suggestions on my manuscript. To Xiaodong Wu for his instructions on the algorithms to lead our research to go deeper. To Yunlong Liu and ...
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