AIMC Topic: Radiation Dosage

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Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique.

Medical physics Nov 28, 2018
PURPOSE: To develop an automated treatment planning strategy for external beam intensity-modulated radiation therapy (IMRT), including a deep learning-based three-dimensional (3D) dose prediction and a dose distribution-based plan generation algorith...
Humans Algorithms Radiotherapy, Intensity-Modulated Automation Radiation Dosage Radiotherapy Dosage Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains.

Medical physics Nov 28, 2018
PURPOSE: Sparsely sampled computed tomography (CT) has been attracting attention as a technique that can reduce the high radiation dose of conventional CT. In general, iterative reconstruction techniques have been applied to sparsely sampled CT to re...
Humans Tomography, X-Ray Computed Quality Control Lung Radiation Dosage Deep Learning Wavelet Analysis Image Processing, Computer-Assisted
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A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning.

Medical physics Nov 23, 2018
PURPOSE: To develop a method for predicting optimal dose distributions, given the planning image and segmented anatomy, by applying deep learning techniques to a database of previously optimized and approved Intensity-modulated radiation therapy trea...
Humans Radiotherapy, Intensity-Modulated Neural Networks, Computer Automation Deep Learning Radiation Dosage Feasibility Studies Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted
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Statistical CT reconstruction using region-aware texture preserving regularization learning from prior normal-dose CT image.

Physics in medicine and biology Nov 20, 2018
In some clinical applications, prior normal-dose CT (NdCT) images are available, and the valuable textures and structure features in them may be used to promote follow-up low-dose CT (LdCT) reconstruction. This study aims to learn texture information...
Humans Machine Learning Radiation Dosage Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted
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The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.

European radiology Oct 30, 2018
The first CT scanners in the early 1970s already used iterative reconstruction algorithms; however, lack of computational power prevented their clinical use. In fact, it took until 2009 for the first iterative reconstruction algorithms to come commer...
Radiation Dosage Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms
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Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Physics in medicine and biology Oct 23, 2018
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans have been major clinical concerns. The radiation exposure can be reduced effectively via lowering the x-ray tube current (mA). However, this strategy ...
Radiation Exposure Radiation Dosage Plaque, Atherosclerotic Radionuclide Imaging Machine Learning Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Artifacts Brain Diseases Humans Neural Networks, Computer
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Unsupervised classification of tissues composition for Monte Carlo dose calculation.

Physics in medicine and biology Jul 24, 2018
The purpose of this study is to investigate the potential of k-means clustering to efficiently reduce the variety of materials needed in Monte Carlo (MC) dose calculation. A numerical phantom with 31 human tissues surrounded by water is created. K-me...
Radiation Dosage Monte Carlo Method Phantoms, Imaging Proton Therapy Humans Tomography, X-Ray Computed Unsupervised Machine Learning
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Computed tomography super-resolution using deep convolutional neural network.

Physics in medicine and biology Jul 16, 2018
The objective of this study is to develop a convolutional neural network (CNN) for computed tomography (CT) image super-resolution. The network learns an end-to-end mapping between low (thick-slice thickness) and high (thin-slice thickness) resolutio...
Humans Neural Networks, Computer Parkinson Disease Radiation Dosage Male Tomography, X-Ray Computed Deep Learning Signal-To-Noise Ratio Female Image Processing, Computer-Assisted Aged
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Robotic-assisted transradial diagnostic coronary angiography.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Jan 4, 2018
Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheterization laboratory. Robotics offers benefits of greater precision for stent placement and occupational hazard protection for operators and staff. First g...
Radial Artery Radiation Exposure Cardiac Catheters Catheterization, Peripheral Predictive Value of Tests Robotics Aged Punctures Male Coronary Angiography Coronary Vessels Equipment Design Time Factors Humans Radiation Dosage Coronary Artery Disease
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Performance of a Robotic Assistance Device in Computed Tomography-Guided Percutaneous Diagnostic and Therapeutic Procedures.

Cardiovascular and interventional radiology Nov 20, 2017
PURPOSE: To evaluate a commercially available robotic assistance device for computed tomography-guided diagnostic and therapeutic interventions, compared to regular, manually performed CT scan-guided interventions in terms of precision, exposure to r...
Tomography, X-Ray Computed Humans Male Radiation Dosage Female Time Factors Radiography, Interventional Prospective Studies Robotics Aged
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