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Radiotherapy Planning, Computer-Assisted

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Rapid in vivo EPID image prediction using a combination of analytically calculated attenuation and AI predicted scatter.

Medical physics Nov 28, 2024
BACKGROUND: The electronic portal imaging device (EPID) can be used in vivo, to detect on-treatment errors by evaluating radiation exiting a patient. To detect deviations from the planning intent, image predictions need to be modeled based on the pat...
Humans Radiotherapy, Intensity-Modulated Neural Networks, Computer Time Factors Scattering, Radiation Deep Learning Image Processing, Computer-Assisted Electrical Equipment and Supplies Radiotherapy Planning, Computer-Assisted
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Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.

Journal of applied clinical medical physics Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Patient Positioning Phantoms, Imaging Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Magnetic Resonance Imaging Workflow Radiotherapy Planning, Computer-Assisted Artificial Intelligence Humans Tomography, X-Ray Computed Brain Neoplasms
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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations.

Radiation oncology (London, England) Nov 25, 2024
BACKGROUND: Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKnife (CK) is essential for precise planning. We aim to employ deep learning to directly predict the 3D dose distribution calculated by the MC algorithm...
Radiotherapy, Intensity-Modulated Radiosurgery Deep Learning Monte Carlo Method Humans Organs at Risk Lung Neoplasms Algorithms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Deep learning-based multiple-CT optimization: An adaptive treatment planning approach to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 23, 2024
BACKGROUNDS: Intensity-modulated proton therapy (IMPT) is particularly susceptible to range and setup uncertainties, as well as anatomical changes.
Retrospective Studies Deep Learning Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Head and Neck Neoplasms Organs at Risk Humans Algorithms Radiotherapy, Intensity-Modulated Proton Therapy
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Automated robotic-assisted patient positioning method and dosimetric impact analysis for boron neutron capture therapy.

Scientific reports Nov 22, 2024
Boron Neutron Capture Therapy (BNCT) represents a revolutionary approach in targeted radiation treatment for cancer. While the therapy's potential in precise targeting is well-recognized, a critical bottleneck remains in the accurate positioning of p...
Radiotherapy Dosage Patient Positioning Phantoms, Imaging Radiometry Boron Neutron Capture Therapy Algorithms Neoplasms Robotics Radiotherapy Planning, Computer-Assisted Humans
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Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas.

Radiation oncology (London, England) Nov 21, 2024
INTRODUCTION: The delineation of organs-at-risk and lymph node areas is a crucial step in radiotherapy, but it is time-consuming and associated with substantial user-dependent variability in contouring. Artificial intelligence (AI) appears to be the ...
Magnetic Resonance Imaging Organs at Risk Radiotherapy Planning, Computer-Assisted Adult Software Humans Male Tomography, X-Ray Computed Artificial Intelligence Child Female Lymph Nodes
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Machine learning in image-based outcome prediction after radiotherapy: A review.

Journal of applied clinical medical physics Nov 18, 2024
The integration of machine learning (ML) with radiotherapy has emerged as a pivotal innovation in outcome prediction, bringing novel insights amid unique challenges. This review comprehensively examines the current scope of ML applications in various...
Humans Machine Learning Neoplasms Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy.

BMC medical imaging Nov 18, 2024
BACKGROUND AND PURPOSE: Tumor bed (TB) is the residual cavity of resected tumor after surgery. Delineating TB from CT is crucial in generating clinical target volume for radiotherapy. Due to multiple surgical effects and low image contrast, segmentin...
Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy, Image-Guided Female Breast Neoplasms Humans Tomography, X-Ray Computed
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Attention 3D UNET for dose distribution prediction of high-dose-rate brachytherapy of cervical cancer: Intracavitary applicators.

Journal of applied clinical medical physics Nov 15, 2024
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of brachytherapy poses challenges to clinicians. Deep learning based dose prediction methods have shown favorable solutions for enhancing efficiency, bu...
Algorithms Retrospective Studies Female Uterine Cervical Neoplasms Humans Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Imaging, Three-Dimensional Organs at Risk
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Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Phantoms, Imaging Abdominal Neoplasms Radiotherapy, Image-Guided Radiographic Image Enhancement Pelvic Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Male Algorithms Tomography, X-Ray Computed Deep Learning Prospective Studies Female
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