AIMC Topic: Radiation Dosage

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Prediction of dose to the relatives of patients treated with radioiodine-131 using neural networks.

Journal of radiological protection : official journal of the Society for Radiological Protection Nov 20, 2017
In this study, the effective dose received by the family members and caregivers of 52 thyroid cancer patients, who had been treated with radioiodine I-131, was measured to investigate the ability of the neural network to predict the doses to the rela...
Radiation Dosage Family Caregivers Radiation Exposure Middle Aged Child Thyroid Neoplasms Iodine Radioisotopes Humans Neural Networks, Computer Adult
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Neural network dose models for knowledge-based planning in pancreatic SBRT.

Medical physics Nov 1, 2017
PURPOSE: Stereotactic body radiation therapy (SBRT) for pancreatic cancer requires a skillful approach to deliver ablative doses to the tumor while limiting dose to the highly sensitive duodenum, stomach, and small bowel. Here, we develop knowledge-b...
Radiation Dosage Radiotherapy Dosage Radiosurgery Normal Distribution Humans Neural Networks, Computer Pancreatic Neoplasms Radiotherapy Planning, Computer-Assisted
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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

IEEE transactions on medical imaging Sep 27, 2017
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures of the LdCT ...
Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Lung Neoplasms Humans Machine Learning Algorithms Databases, Factual Phantoms, Imaging Principal Component Analysis Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.

IEEE transactions on medical imaging Sep 15, 2017
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction algorithms are one of the most promising way to compensate for the increased noise due to reduction of photon flu...
Tomography, X-Ray Computed Humans Thorax Abdomen Neural Networks, Computer Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Characterization and prediction of the backscattered form function of an immersed cylindrical shell using hybrid fuzzy clustering and bio-inspired algorithms.

Ultrasonics Jun 20, 2017
The acoustic scattering of a plane wave by an elastic cylindrical shell is studied. A new approach is developed to predict the form function of an immersed cylindrical shell of the radius ratio b/a ('b' is the inner radius and 'a' is the outer radius...
Biomimetics Radiation Dosage Scattering, Radiation Radiometry Computer Simulation Models, Theoretical Fuzzy Logic Sound Algorithms
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Germany Coronary Vessels Radiation Dosage Signal-To-Noise Ratio Multidetector Computed Tomography Computed Tomography Angiography Radiation Exposure Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Knowledge Bases Middle Aged Body Mass Index Predictive Value of Tests Humans Female Algorithms Reproducibility of Results Aged Male
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Impact of robotics and a suspended lead suit on physician radiation exposure during percutaneous coronary intervention.

Cardiovascular revascularization medicine : including molecular interventions Dec 16, 2016
BACKGROUND: Reports of left-sided brain malignancies among interventional cardiologists have heightened concerns regarding physician radiation exposure. This study evaluated the impact of a suspended lead suit and robotic system on physician radiatio...
Occupational Exposure Logistic Models Lead Robotics Coronary Angiography Equipment Design Percutaneous Coronary Intervention Linear Models Prospective Studies Protective Clothing Risk Factors Thorax Radiation Dosimeters Risk Assessment Radiation Exposure Time Factors Radiation Monitoring Humans Head Radiation Protection Physicians Radiation Dosage Multivariate Analysis Radiography, Interventional
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Radiation Dose Estimation by Automated Cytogenetic Biodosimetry.

Radiation protection dosimetry Jul 13, 2016
The dose from ionizing radiation exposure can be interpolated from a calibration curve fit to the frequency of dicentric chromosomes (DCs) at multiple doses. As DC counts are manually determined, there is an acute need for accurate, fully automated b...
Chromosome Aberrations Humans Equipment Design Radiometry Software Pattern Recognition, Automated Flow Cytometry User-Computer Interface Radiation Dosage Biological Assay Robotics Specimen Handling Image Interpretation, Computer-Assisted Equipment Failure Analysis
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THE DECADE OF THE RABiT (2005-15).

Radiation protection dosimetry Jul 13, 2016
The RABiT (Rapid Automated Biodosimetry Tool) is a dedicated Robotic platform for the automation of cytogenetics-based biodosimetry assays. The RABiT was developed to fulfill the critical requirement for triage following a mass radiological or nuclea...
Radiometry Humans Robotics Radiation Dosage Equipment Design Specimen Handling Flow Cytometry Equipment Failure Analysis Biological Assay Chromosome Aberrations Pattern Recognition, Automated
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Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares.

Biomedical engineering online Jun 18, 2016
BACKGROUND: In order to reduce the radiation dose of CT (computed tomography), compressed sensing theory has been a hot topic since it provides the possibility of a high quality recovery from the sparse sampling data. Recently, the algorithm based on...
Humans Image Processing, Computer-Assisted Machine Learning Least-Squares Analysis Tomography, X-Ray Computed Radiation Dosage Signal-To-Noise Ratio
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