Machine learning for auto-segmentation in radiotherapy planning
K Harrison, H Pullen, C Welsh, O Oktay, J Alvarez-Valle… - Clinical Oncology, 2022 - Elsevier
Manual segmentation of target structures and organs at risk is a crucial step in the
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …
[HTML][HTML] Radiotherapy Treatment plannINg study Guidelines (RATING): A framework for setting up and reporting on scientific treatment planning studies
Radiotherapy treatment planning studies significantly contribute to advances and
improvements in radiation treatment of cancer patients. They are a pivotal step to support …
improvements in radiation treatment of cancer patients. They are a pivotal step to support …
[HTML][HTML] Framework for quality assurance of ultrahigh dose rate clinical trials investigating FLASH effects and current technology gaps
Abstract FLASH radiation therapy (FLASH-RT), delivered with ultrahigh dose rate (UHDR),
may allow patients to be treated with less normal tissue toxicity for a given tumor dose …
may allow patients to be treated with less normal tissue toxicity for a given tumor dose …
Latest developments in in-vivo imaging for proton therapy
K Parodi - The British journal of radiology, 2020 - academic.oup.com
Owing to the favorable physical and biological properties of swift ions in matter, their
application to radiation therapy for highly selective cancer treatment is rapidly spreading …
application to radiation therapy for highly selective cancer treatment is rapidly spreading …
Ionization detail parameters and cluster dose: a mathematical model for selection of nanodosimetric quantities for use in treatment planning in charged particle …
B Faddegon, EA Blakely, L Burigo… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. To propose a mathematical model for applying ionization detail (ID), the detailed
spatial distribution of ionization along a particle track, to proton and ion beam radiotherapy …
spatial distribution of ionization along a particle track, to proton and ion beam radiotherapy …
[HTML][HTML] Particle arc therapy: Status and potential
S Mein, S Wuyckens, X Li, S Both, A Carabe… - Radiotherapy and …, 2024 - Elsevier
There is a rising interest in developing and utilizing arc delivery techniques with charged
particle beams, eg, proton, carbon or other ions, for clinical implementation. In this work …
particle beams, eg, proton, carbon or other ions, for clinical implementation. In this work …
Influence of target location, size, and patient age on normal tissue sparing-proton and photon therapy in paediatric brain tumour patient-specific approach
Simple Summary This manuscript investigates the latest proton and photon radiation
delivery techniques and the delivered dose distribution dependence on age and brain …
delivery techniques and the delivered dose distribution dependence on age and brain …
Superiorization: The asymmetric roles of feasibility-seeking and objective function reduction
Y Censor - arXiv preprint arXiv:2212.14724, 2022 - arxiv.org
The superiorization methodology can be thought of as lying conceptually between feasibility-
seeking and constrained minimization. It is not trying to solve the full-fledged constrained …
seeking and constrained minimization. It is not trying to solve the full-fledged constrained …
Developments in mathematical algorithms and computational tools for proton CT and particle therapy treatment planning
Y Censor, KE Schubert… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We summarize recent results and ongoing activities in mathematical algorithms and
computer science methods related to proton computed tomography (pCT) and intensity …
computer science methods related to proton computed tomography (pCT) and intensity …
Derivative-free superiorization: Principle and algorithm
The superiorization methodology is intended to work with input data of constrained
minimization problems, that is, a target function and a set of constraints. However, it is based …
minimization problems, that is, a target function and a set of constraints. However, it is based …