AIMC Topic: Radiation Dosage

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Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer letters May 27, 2016
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncology, through the use of CT Scan, dosimetry and imaging performed before each fraction, have generated a considerable flow of data that needs to be int...
Data Mining Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Unsupervised Machine Learning Data Interpretation, Statistical Radiation Oncology Decision Support Techniques Databases, Factual Electronic Health Records Risk Factors Biomedical Research Risk Assessment Neoplasms Support Vector Machine Humans Neural Networks, Computer Machine Learning
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Radiation Exposure Subtraction Technique Radiation Protection Pattern Recognition, Automated Image Enhancement Radiation Dosage Humans Algorithms Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Multimodal Imaging Supervised Machine Learning Positron-Emission Tomography
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A machine learning approach to the accurate prediction of multi-leaf collimator positional errors.

Physics in medicine and biology Mar 7, 2016
Discrepancies between planned and delivered movements of multi-leaf collimators (MLCs) are an important source of errors in dose distributions during radiotherapy. In this work we used machine learning techniques to train models to predict these disc...
Humans Machine Learning Patient Positioning Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage
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Image quality and effective dose of a robotic flat panel 3D C-arm vs computed tomography.

The international journal of medical robotics + computer assisted surgery : MRCAS Dec 18, 2015
BACKGROUND: The aim of this study was to determine the effective dose and corresponding image quality of different imaging protocols of a robotic 3D flat panel C-arm in comparison to computed tomography (CT).
Cadaver Observer Variation Radiation Dosage Pedicle Screws Phantoms, Imaging Thermoluminescent Dosimetry Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Robotics Female Titanium Animals Male Swine
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Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Pediatric radiology Nov 6, 2015
BACKGROUND: CT of pediatric phantoms can provide useful guidance to the optimization of knowledge-based iterative reconstruction CT.
Child, Preschool Models, Statistical Radiation Protection Knowledge Bases Humans Machine Learning Phantoms, Imaging Radiation Dosage Reproducibility of Results Computer Simulation Radiographic Image Enhancement Sensitivity and Specificity Tomography, X-Ray Computed Male Radiation Exposure Female Subtraction Technique
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Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study.

Korean journal of radiology Aug 1, 2025
OBJECTIVE: To evaluate the impact of deep learning-based image conversion on the accuracy of automated coronary artery calcium quantification using thin-slice, sharp-kernel, non-gated, low-dose chest computed tomography (LDCT) images collected from m...
Humans Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Tomography, X-Ray Computed Female Aged Radiography, Thoracic Vascular Calcification Coronary Artery Disease Coronary Vessels Radiation Dosage
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Application of a pulmonary nodule detection program using AI technology to ultra-low-dose CT: differences in detection ability among various image reconstruction methods.

Japanese journal of radiology Aug 1, 2025
PURPOSE: This study aimed to investigate the performance of an artificial intelligence (AI)-based lung nodule detection program in ultra-low-dose CT (ULDCT) imaging, with a focus on the influence of various image reconstruction methods on detection a...
Lung Humans Image Processing, Computer-Assisted Artificial Intelligence Lung Neoplasms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Radiation Dosage Phantoms, Imaging
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Machine learning-based estimation of occupational radiation dose in interventional cardiology.

Radiation protection dosimetry Jul 24, 2025
In interventional cardiology, occupational radiation exposure for medical personnel can reach high levels, underscoring the critical need for effective radiation protection and monitoring methods. This study employs machine learning algorithms to est...
Humans Machine Learning Algorithms Radiation Exposure Cardiology Computer Simulation Radiation Monitoring Occupational Exposure Radiation Protection Radiation Dosage Monte Carlo Method
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Dose-aware denoising diffusion model for low-dose CT.

Physics in medicine and biology Jul 15, 2025
Low-dose computed tomography (LDCT) denoising plays an important role in medical imaging for reducing the radiation dose to patients. Recently, various data-driven and diffusion-based deep learning (DL) methods have been developed and shown promising...
Signal-To-Noise Ratio Image Processing, Computer-Assisted Diffusion Radiation Dosage Humans Tomography, X-Ray Computed Deep Learning
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Self-supervised learning for low-dose CT image denoising method based on guided image filtering.

Physics in medicine and biology Jul 3, 2025
low-dose computed tomography (LDCT) images suffer from severe noise due to reduced radiation exposure. Most existing deep learning-based denoising methods require supervised learning with paired training data that is difficult to obtain. To address t...
Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Radiation Dosage Signal-To-Noise Ratio Humans Tomography, X-Ray Computed
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