AIMC Topic: Radiotherapy Planning, Computer-Assisted

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Enhancing synthetic pelvic CT generation from CBCT using vision transformer with adaptive fourier neural operators.

Biomedical physics & engineering express Aug 11, 2025
This study introduces a novel approach to improve Cone Beam CT (CBCT) image quality by developing a synthetic CT (sCT) generation method using CycleGAN with a Vision Transformer (ViT) and an Adaptive Fourier Neural Operator (AFNO).A dataset of 20 pro...
Algorithms Male Cone-Beam Computed Tomography Humans Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Radiosurgery Fourier Analysis Prostatic Neoplasms Pelvis Image Processing, Computer-Assisted
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Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

Radiation oncology (London, England) Aug 4, 2025
BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, its feasibility can be challenging to assess in large tumors or those adjacent to critical organs at risk (OARs), which are typically assessed only afte...
Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Proton Therapy Radiotherapy Dosage Male Middle Aged Carcinoma, Hepatocellular Magnetic Resonance Imaging Liver Neoplasms
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The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS.

BMC urology Aug 2, 2025
PURPOSE: In study, we aimed to dosimetrically evaluate the usability of a new generation autocontouring algorithm (DirectORGANS) that automatically identifies organs and contours them directly in the computed tomography (CT) simulator before creating...
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Prostatic Neoplasms Radiometry Humans Tomography, X-Ray Computed Male Algorithms
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Last vertex splitting: a new retroactive Monte Carlo splitting technique applied to LINAC out-of-field dose computation.

Physics in medicine and biology Aug 1, 2025
We propose a new variance reduction technique called last vertex splitting (LVS) designed to reduce computation time in Monte Carlo (MC) simulations for particles traversing high-attenuating media, such as the collimator and other beam-limiting devic...
Particle Accelerators Radiation Dosage Radiotherapy Dosage Monte Carlo Method Radiotherapy Planning, Computer-Assisted
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Automated radiotherapy treatment planning guided by GPT-4Vision.

Physics in medicine and biology Jul 24, 2025
. Radiotherapy treatment planning is a time-consuming and potentially subjective process that requires iterative adjustment of model parameters to balance multiple conflicting objectives. Recent advancements in frontier artificial intelligence (AI) m...
Humans Artificial Intelligence Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Male Automation Radiotherapy Dosage
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Recent advances in applying machine learning to proton radiotherapy.

Biomedical physics & engineering express Jul 23, 2025
.: In radiation oncology, precision and timeliness of both planning and treatment are paramount values of patient care. Machine learning has increasingly been applied to various aspects of photon radiotherapy to reduce manual error and improve the ef...
Humans Radiation Oncology Machine Learning Neural Networks, Computer Proton Therapy Radiotherapy Planning, Computer-Assisted Neoplasms Radiotherapy Dosage
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Statistical toolkit for analysis of radiotherapy DICOM data.

Biomedical physics & engineering express Jul 17, 2025
Radiotherapy (RT) has become increasingly sophisticated, necessitating advanced tools for analyzing extensive treatment data in hospital databases. Such analyses can enhance future treatments, particularly through Knowledge-Based Planning, and aid in...
Radiotherapy Dosage Retrospective Studies Neoplasms Databases, Factual Organs at Risk Radiotherapy Planning, Computer-Assisted Principal Component Analysis Humans Software Algorithms
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Deep-learning-based linac beam modelling with sparse beam data measurements.

Physics in medicine and biology Jul 16, 2025
This paper introduces linac beam modelling network (LBMnet), a deep-learning-based approach for efficient linac beam modelling, generating percentage depth dose (PDD) and beam profiles by predicting beam data from sparse single-field measurements, th...
Particle Accelerators Deep Learning Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage
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Deep learning-based delineation of whole-body organs at risk empowering adaptive radiotherapy.

BMC medical informatics and decision making Jul 15, 2025
BACKGROUND: Accurate delineation of organs at risk (OARs) is crucial for precision radiotherapy. Most previous autosegmentation models were only constructed for single anatomical region without evaluation of dosimetric impact. We aimed to validate th...
Deep Learning Organs at Risk Radiotherapy Planning, Computer-Assisted Humans
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Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer.

Scientific reports Jul 4, 2025
Deep learning has been used for automatic planning of radiotherapy targets, such as inferring the clinical target volume (CTV) for a given new patient. However, previous deep learning methods mainly focus on predicting CTV from CT images without cons...
Organs at Risk Female Humans Psoas Muscles Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Uterine Cervical Neoplasms Deep Learning
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