[HTML][HTML] Pre-clinical validation of a novel system for fully-automated treatment planning
Introduction Many approaches for automated treatment planning (autoplanning) have been
proposed and investigated. Autoplanning can enhance plan quality compared to …
proposed and investigated. Autoplanning can enhance plan quality compared to …
Clinical benefit of range uncertainty reduction in proton treatment planning based on dual-energy CT for neuro-oncological patients
Objective: Several studies have shown that dual-energy CT (DECT) can lead to improved
accuracy for proton range estimation. This study investigated the clinical benefit of reduced …
accuracy for proton range estimation. This study investigated the clinical benefit of reduced …
Noninferiority study of automated knowledge-based planning versus human-driven optimization across multiple disease sites
Purpose To evaluate whether automated knowledge-based planning (KBP)(a) is noninferior
to human-driven planning across multiple disease sites and (b) systematically affects …
to human-driven planning across multiple disease sites and (b) systematically affects …
SISS-MCO: large scale sparsity-induced spot selection for fast and fully-automated robust multi-criteria optimisation of proton plans
Objective. Intensity modulated proton therapy (IMPT) is an emerging treatment modality for
cancer. However, treatment planning for IMPT is labour-intensive and time-consuming. We …
cancer. However, treatment planning for IMPT is labour-intensive and time-consuming. We …
Artificial intelligence in radiation therapy
Artificial intelligence (AI) has great potential to transform the clinical workflow of
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …
Automating proton treatment planning with beam angle selection using Bayesian optimization
Purpose To present a fully automated treatment planning process for proton therapy
including beam angle selection using a novel Bayesian optimization approach and …
including beam angle selection using a novel Bayesian optimization approach and …
A novel mathematical model to generate semi‐automated optimal IMRT treatment plan based on predicted 3D dose distribution and prescribed dose
Background In recent years, with the development of artificial intelligence and deep learning
techniques, it has become possible to predict the three‐dimensional distribution dose (3D3) …
techniques, it has become possible to predict the three‐dimensional distribution dose (3D3) …
[HTML][HTML] Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
Abstract Background and Purpose Reducing trismus in radiotherapy for head and neck
cancer (HNC) is important. Automated deep learning (DL) segmentation and automated …
cancer (HNC) is important. Automated deep learning (DL) segmentation and automated …
Domain knowledge driven 3D dose prediction using moment-based loss function
Objective. To propose a novel moment-based loss function for predicting 3D dose
distribution for the challenging conventional lung intensity modulated radiation therapy …
distribution for the challenging conventional lung intensity modulated radiation therapy …
Automated and clinically optimal treatment planning for cancer radiotherapy
M Zarepisheh, L Hong, Y Zhou… - … journal on applied …, 2022 - pubsonline.informs.org
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 …