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Multi-criteria optimization and decision-making in radiotherapy
Radiotherapy (radiation therapy) is one of the main treatments for cancer. The aim is to
deliver a prescribed radiation dose to the tumor, while kee** the unavoidable dose to the …
deliver a prescribed radiation dose to the tumor, while kee** the unavoidable dose to the …
Artificial intelligence‐based radiotherapy machine parameter optimization using reinforcement learning
Purpose To develop and evaluate a volumetric modulated arc therapy (VMAT) machine
parameter optimization (MPO) approach based on deep‐Q reinforcement learning (RL) …
parameter optimization (MPO) approach based on deep‐Q reinforcement learning (RL) …
Clinical VMAT machine parameter optimization for localized prostate cancer using deep reinforcement learning
Background Volumetric modulated arc therapy (VMAT) machine parameter optimization
(MPO) remains computationally expensive and sensitive to input dose objectives creating …
(MPO) remains computationally expensive and sensitive to input dose objectives creating …
System and method for learning models of radiotherapy treatment plans to predict radiotherapy dose distributions
LS Hibbard - US Patent 11,850,445, 2023 - Google Patents
US11850445B2 - System and method for learning models of radiotherapy treatment plans
to predict radiotherapy dose distributions - Google Patents US11850445B2 - System and …
to predict radiotherapy dose distributions - Google Patents US11850445B2 - System and …
Automated and clinically optimal treatment planning for cancer radiotherapy
Each year, approximately 18 million new cancer cases are diagnosed worldwide, and about
half must be treated with radiotherapy. A successful treatment requires treatment planning …
half must be treated with radiotherapy. A successful treatment requires treatment planning …
Multi-agent reinforcement learning meets leaf sequencing in radiotherapy
In contemporary radiotherapy planning (RTP), a key module leaf sequencing is
predominantly addressed by optimization-based approaches. In this paper, we propose a …
predominantly addressed by optimization-based approaches. In this paper, we propose a …
Development of an autonomous treatment planning strategy for radiation therapy with effective use of population‐based prior data
Purpose Current treatment planning remains a costly and labor intensive procedure and
requires multiple trial‐and‐error adjustments of system parameters such as the weighting …
requires multiple trial‐and‐error adjustments of system parameters such as the weighting …
Optimization of combined proton–photon treatments
Purpose Proton treatment slots are a limited resource. Therefore, we consider combined
proton–photon treatments in which most fractions are delivered with photons and only a few …
proton–photon treatments in which most fractions are delivered with photons and only a few …
Radiation therapy of synchronous bilateral breast carcinoma (SBBC) using multiple techniques
SJ Kim, MJ Lee, SM Youn - Medical dosimetry, 2018 - Elsevier
The purpose of this study was to establish intensity-modulated radiation therapy (IMRT) and
volumetric-modulated arc therapy (VMAT) treatment plans for synchronous bilateral breast …
volumetric-modulated arc therapy (VMAT) treatment plans for synchronous bilateral breast …
On mixed electron–photon radiation therapy optimization using the column generation approach
Purpose Despite considerable increase in the number of degrees of freedom handled by
recent radiotherapy optimisation algorithms, treatments are still typically delivered using a …
recent radiotherapy optimisation algorithms, treatments are still typically delivered using a …