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Radiotherapy Planning, Computer-Assisted

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Dose distribution prediction in isodose feature-preserving voxelization domain using deep convolutional neural network.

Medical physics Jun 7, 2019
PURPOSE: To implement a framework for dose prediction using a deep convolutional neural network (CNN) based on the concept of isodose feature-preserving voxelization (IFPV) in simplifying the representation of the dose distribution.
Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Neoplasms Cohort Studies ROC Curve Bayes Theorem Humans Neural Networks, Computer Algorithms Organ Specificity Dose Fractionation, Radiation Radiotherapy, Image-Guided Radiotherapy Setup Errors Technology, Radiologic Simulation Training Medical Errors Radiologists Radiotherapy Planning, Computer-Assisted Datasets as Topic False Negative Reactions False Positive Reactions Radiotherapy Dosage
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Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.

Physics in medicine and biology May 29, 2019
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The objective function and constraints consist of multiple terms designed for different clinical and practical considerations. Weighting factors of these ...
Uterine Cervical Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Humans Algorithms Brachytherapy Female Radiotherapy Dosage
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Predicting VMAT patient-specific QA results using a support vector classifier trained on treatment plan characteristics and linac QC metrics.

Physics in medicine and biology Apr 29, 2019
The use of treatment plan characteristics to predict patient-specific quality assurance (QA) measurement results has recently been reported as a strategy to help facilitate automated pre-treatment verification workflows or to provide a virtual assess...
Humans Machine Learning Radiotherapy, Intensity-Modulated Patient-Specific Modeling Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Particle Accelerators
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MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 11, 2019
PURPOSE: This study assessed the dosimetric accuracy of synthetic CT images generated from magnetic resonance imaging (MRI) data for focal brain radiation therapy, using a deep learning approach.
Radiotherapy, Image-Guided Radiotherapy Dosage Radiotherapy, Intensity-Modulated Bone and Bones Deep Learning Humans Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Brain Neoplasms
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Towards real-time respiratory motion prediction based on long short-term memory neural networks.

Physics in medicine and biology Apr 10, 2019
Radiation therapy of thoracic and abdominal tumors requires incorporating the respiratory motion into treatments. To precisely account for the patient's respiratory motions and predict the respiratory signals, a generalized model for predictions of d...
Respiration Abdominal Neoplasms Thoracic Neoplasms Motion Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer
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Stochastic frontier analysis as knowledge-based model to improve sparing of organs-at-risk for VMAT-treated prostate cancer.

Physics in medicine and biology Apr 8, 2019
Stochastic frontier analysis (SFA) is used as a novel knowledge-based technique in order to develop a predictive model of dosimetric features from significant geometric parameters describing a patient morphology. 406 patients treated with VMAT for pr...
Radiotherapy, Intensity-Modulated Stochastic Processes Radiometry Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Male Prostatic Neoplasms Knowledge Bases
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Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Apr 1, 2019
INTRODUCTION: Cone-beam CT (CBCT) image quality is important for its quantitative analysis in adaptive radiation therapy. However, due to severe artifacts, the CBCTs are primarily used for verifying patient setup only so far. We have developed a lear...
Radiometry Pelvis Quality Improvement Brain Neoplasms Organs at Risk Humans Cone-Beam Computed Tomography Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Machine Learning Decision Trees Radiosurgery Retrospective Studies
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A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.

Medical physics Apr 1, 2019
PURPOSE: This work aims to develop a new framework of image quality assessment using deep learning-based model observer (DL-MO) and to validate it in a low-contrast lesion detection task that involves CT images with patient anatomical background.
Observer Variation Radiotherapy Dosage Models, Statistical Least-Squares Analysis Radiotherapy Planning, Computer-Assisted Deep Learning Liver Neoplasms Image Processing, Computer-Assisted Humans Retrospective Studies Neural Networks, Computer Tomography, X-Ray Computed Algorithms
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A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy.

Medical physics Mar 30, 2019
PURPOSE: To develop a deep learning method for prediction of three-dimensional (3D) voxel-by-voxel dose distributions of helical tomotherapy (HT).
Deep Learning Image Processing, Computer-Assisted Organs at Risk Nasopharyngeal Neoplasms Humans Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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