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Fully Automated Radiation Therapy Treatment Planning through Knowledge-based Dose Predictions

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개인저자Landers, Angelia C.
단체저자명University of California, Los Angeles. Biomedical Physics 0119.
서명/저자사항Fully Automated Radiation Therapy Treatment Planning through Knowledge-based Dose Predictions.
발행사항[S.l.] : University of California, Los Angeles., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항143 p.
소장본 주기School code: 0031.
ISBN9780438030428
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Ke Sheng.
요약Intensity-modulated radiotherapy treatment planning is an inverse problem that typically includes numerous parameters that have to be manually tuned by expert planners. This process can take hours or even days and can often lead to suboptimal pl
요약Knowledge-based planning (KBP) dose prediction provides patient-specific estimations for the capabilities and limitations of a plan. Statistical voxel dose learning (SVDL) was developed to predict the voxel dose of new patients. The method was c
요약To remove any dependence on hyperparameters that require manual tuning, voxel-based non-coplanar 4pi radiotherapy and coplanar volumetric modulated arc therapy (VMAT) optimization problems were modified to include the KBP predicted doses. The ne
요약In the case of no existing high quality training set, evolving-knowledge-base (EKB) planning was developed. An initial, low quality training set was used for the first epoch of automated planning. In subsequent epochs, the superior plans from th
요약Through the course of this work, we established a robust and accurate KBP dose prediction technique, which we then utilized in our automated planning protocol. Both the use of high quality training sets and EKB planning created high quality plan
일반주제명Biomedical engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14998911

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