AIMC Topic: Radiotherapy Dosage

Clear Filters Showing 321 to 330 of 497 articles

Accurate 3D-dose-based generation of MLC segments for robotic radiotherapy.

Physics in medicine and biology Aug 31, 2020
Radiotherapy treatment planning requires accurate modeling of the delivered patient dose, including radiation scatter effects, multi-leaf collimator (MLC) leaf transmission, interleaf-leakage, etc. In fluence map optimization (FMO), a simple dose mod...
Humans Male Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Radiotherapy, Computer-Assisted Liver Neoplasms Robotics Prostatic Neoplasms
View on PubMed DOI

Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

Medical physics Aug 11, 2020
PURPOSE: Anatomical variations occur during head and neck (H&N) radiotherapy treatment. kV cone-beam computed tomography (CBCT) images can be used for daily dose monitoring to assess dose variations owing to anatomic changes. Deep learning methods (D...
Humans Deep Learning Radiotherapy, Intensity-Modulated Phantoms, Imaging Spiral Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Calibration Radiotherapy Dosage Cone-Beam Computed Tomography Head and Neck Neoplasms Radiation Oncology
View on PubMed DOI

A knowledge-based intensity-modulated radiation therapy treatment planning technique for locally advanced nasopharyngeal carcinoma radiotherapy.

Radiation oncology (London, England) Aug 3, 2020
BACKGROUND: To investigate the feasibility of a knowledge-based automated intensity-modulated radiation therapy (IMRT) planning technique for locally advanced nasopharyngeal carcinoma (NPC) radiotherapy.
Retrospective Studies Knowledge Bases Organs at Risk Humans Machine Learning Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
View on PubMed DOI

Using deep learning to predict beam-tunable Pareto optimal dose distribution for intensity-modulated radiation therapy.

Medical physics Aug 2, 2020
PURPOSE: Many researchers have developed deep learning models for predicting clinical dose distributions and Pareto optimal dose distributions. Models for predicting Pareto optimal dose distributions have generated optimal plans in real time using an...
Radiotherapy, Intensity-Modulated Humans Male Organs at Risk Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
View on PubMed DOI

Cone-beam CT-derived relative stopping power map generation via deep learning for proton radiotherapy.

Medical physics Jul 27, 2020
PURPOSE: In intensity-modulated proton therapy (IMPT), protons are used to deliver highly conformal dose distributions, targeting tumors, and sparing organs-at-risk. However, due to uncertainties in both patient setup and relative stopping power (RSP...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Protons Humans Cone-Beam Computed Tomography Image Processing, Computer-Assisted Deep Learning Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer.

International journal of radiation oncology, biology, physics Jul 16, 2020
PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a one-stop shop for radiation therapy (RT) planning has great potential but is technically challenging. We studied the feasibility of performing multipara...
Magnetic Resonance Imaging Multimodal Imaging Feasibility Studies Radiopharmaceuticals Positron-Emission Tomography Fluorodeoxyglucose F18 Tomography, X-Ray Computed Deep Learning Radiotherapy Dosage Head and Neck Neoplasms Humans Patient Positioning Neural Networks, Computer Radiotherapy, Computer-Assisted Prospective Studies
View on PubMed DOI

Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery.

Medical physics Jul 8, 2020
PURPOSE: Robotic radiosurgery offers the flexibility of a robotic arm to enable high conformity to the target and a steep dose gradient. However, treatment planning becomes a computationally challenging task as the search space for potential beam dir...
Radiosurgery Humans Robotics Robotic Surgical Procedures Feasibility Studies Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
View on PubMed DOI

DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation.

Scientific reports Jul 6, 2020
Deep learning algorithms have recently been developed that utilize patient anatomy and raw imaging information to predict radiation dose, as a means to increase treatment planning efficiency and improve radiotherapy plan quality. Current state-of-the...
Humans Radiotherapy Dosage Neural Networks, Computer Radiometry Neoplasms Algorithms Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Boosting radiotherapy dose calculation accuracy with deep learning.

Journal of applied clinical medical physics Jun 19, 2020
In radiotherapy, a trade-off exists between computational workload/speed and dose calculation accuracy. Calculation methods like pencil-beam convolution can be much faster than Monte-Carlo methods, but less accurate. The dose difference, mostly cause...
Radiotherapy Planning, Computer-Assisted Humans Radiotherapy, Intensity-Modulated Radiometry Radiotherapy Dosage Algorithms Deep Learning
View on PubMed DOI

RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.

International journal of radiation oncology, biology, physics May 12, 2020
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human body can be obtained with the Monte Carlo (MC) method. However, the MC method can be slow for use in the time-sensitive clinical workflow. The aim of...
Monte Carlo Method Urinary Bladder Iridium Radioisotopes Radiotherapy Planning, Computer-Assisted Brachytherapy Deep Learning Radiotherapy Dosage Female Prostatic Neoplasms Uterine Cervical Neoplasms Rectum Prostate Humans Male Colon, Sigmoid Neural Networks, Computer Organs at Risk Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals