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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 …
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
With the advancement of treatment modalities in radiation therapy for cancer patients,
outcomes have improved, but at the cost of increased treatment plan complexity and …
outcomes have improved, but at the cost of increased treatment plan complexity and …
Incorporating human and learned domain knowledge into training deep neural networks: a differentiable dose‐volume histogram and adversarial inspired framework …
D Nguyen, R McBeth… - Medical …, 2020 - Wiley Online Library
Purpose We propose a novel domain‐specific loss, which is a differentiable loss function
based on the dose‐volume histogram (DVH), and combine it with an adversarial loss for the …
based on the dose‐volume histogram (DVH), and combine it with an adversarial loss for the …
DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy
Emerging magnetic resonance (MR) guided radiotherapy affords significantly improved
anatomy visualization and, subsequently, more effective personalized treatment. The new …
anatomy visualization and, subsequently, more effective personalized treatment. The new …
Complexity in radiation therapy: it's complicated
The culmination of radiation therapy's technical innovation during the past few decades led
to the development of volumetric modulated arc therapy (VMAT), 1 which constitutes the …
to the development of volumetric modulated arc therapy (VMAT), 1 which constitutes the …
A novel optimization framework for VMAT with dynamic gantry couch rotation
Existing volumetric modulated arc therapy (VMAT) optimization using coplanar arcs is highly
efficient but usually dosimetrically inferior to intensity modulated radiation therapy (IMRT) …
efficient but usually dosimetrically inferior to intensity modulated radiation therapy (IMRT) …
Tomographic detection of photon pairs produced from high-energy X-rays for the monitoring of radiotherapy dosing
Measuring the radiation dose reaching a patient's body is difficult. Here we report a
technique for the tomographic reconstruction of the location of photon pairs originating from …
technique for the tomographic reconstruction of the location of photon pairs originating from …
Using deep learning to predict beam‐tunable Pareto optimal dose distribution for intensity‐modulated radiation therapy
Purpose Many researchers have developed deep learning models for predicting clinical
dose distributions and Pareto optimal dose distributions. Models for predicting Pareto …
dose distributions and Pareto optimal dose distributions. Models for predicting Pareto …
Fraction-variant beam orientation optimization for non-coplanar IMRT
Conventional beam orientation optimization (BOO) algorithms for IMRT assume that the
same set of beam angles is used for all treatment fractions. In this paper we present a BOO …
same set of beam angles is used for all treatment fractions. In this paper we present a BOO …
A hybrid meta-heuristic framework with ensemble deep learning for multi-functional simultaneous optimized automatic intensity-modulated radiotherapy planning
X Yang, S Li, Q Shao, D Tang, Z Peng, Y Cao… - Expert Systems with …, 2025 - Elsevier
Intensity-modulated radiotherapy (IMRT) is one of the main treatments for patients with
cancer, and its treatment planning holds significant importance. Compared to manual …
cancer, and its treatment planning holds significant importance. Compared to manual …