AIMC Topic: Radiation Dosage

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Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics.

Academic radiology Jan 1, 2020
OBJECTIVES: Noise, commonly encountered on computed tomography (CT) images, can impact diagnostic accuracy. To reduce the image noise, we developed a deep-learning reconstruction (DLR) method that integrates deep convolutional neural networks into im...
Radiation Dosage Phantoms, Imaging Tomography Scanners, X-Ray Computed Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Deep Learning
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Recent and Upcoming Technological Developments in Computed Tomography: High Speed, Low Dose, Deep Learning, Multienergy.

Investigative radiology Jan 1, 2020
The advent of computed tomography (CT) has revolutionized radiology, and this revolution is still going on. Starting as a pure head scanner, modern CT systems are now able to perform whole-body examinations within a couple of seconds in isotropic res...
Deep Learning Image Processing, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed
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THE PROJECT OF ANOTHER LOW-COST METAPHASE FINDER (SECOND REPORT-APPLICATION OF ARTIFICIAL INTELLIGENCE).

Radiation protection dosimetry Dec 31, 2019
Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an appropriate biological marker. The most popular gold-standard marker is the appearance of dicentric chromosomes in metaphase. The metaphase finder is a tool...
Humans Chromosome Aberrations Cytogenetic Analysis Lymphocytes Metaphase Microscopy Radiation Dosage Artificial Intelligence Software
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Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods.

Journal of digital imaging Dec 1, 2019
Low-dose computed tomography (CT) lung cancer screening is recommended by the US Preventive Services Task Force for high lung cancer-risk populations. In this study, we investigated an important factor affecting the CT dose-the scan length, for this ...
Humans Machine Learning Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Middle Aged Lung Lung Neoplasms
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Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study.

Journal of digital imaging Oct 1, 2019
Positron emission tomography (PET) imaging is an effective tool used in determining disease stage and lesion malignancy; however, radiation exposure to patients and technicians during PET scans continues to draw concern. One way to minimize radiation...
Radiation Dosage Signal-To-Noise Ratio Humans Deep Learning Pilot Projects Image Processing, Computer-Assisted Positron-Emission Tomography
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Low-dose CT Denoising Using Edge Detection Layer and Perceptual Loss.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Low-dose CT imaging is a valid approach to reduce patients' exposure to X-ray radiation. However, reducing X-ray current increases noise and artifacts in the reconstructed CT images. Deep neural networks have been successfully employed to remove nois...
Artifacts Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Restoration of Full Data from Sparse Data in Low-Dose Chest Digital Tomosynthesis Using Deep Convolutional Neural Networks.

Journal of digital imaging Jun 1, 2019
Chest digital tomosynthesis (CDT) provides more limited image information required for diagnosis when compared to computed tomography. Moreover, the radiation dose received by patients is higher in CDT than in chest radiography. Thus, CDT has not bee...
Humans Radiography, Thoracic Monte Carlo Method Radiographic Image Enhancement Deep Learning Neural Networks, Computer Imaging, Three-Dimensional Algorithms Radiation Dosage
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Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning.

Journal of X-ray science and technology Jan 1, 2019
Recently, low-dose computed tomography (CT) has become highly desirable due to the increasing attention paid to the potential risks of excessive radiation of the regular dose CT. However, ensuring image quality while reducing the radiation dose in th...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Least-Squares Analysis Radiation Dosage Phantoms, Imaging Machine Learning Algorithms
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Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.

IEEE transactions on medical imaging Jun 1, 2018
Model-based iterative reconstruction algorithms for low-dose X-ray computed tomography (CT) are computationally expensive. To address this problem, we recently proposed a deep convolutional neural network (CNN) for low-dose X-ray CT and won the secon...
Radiation Dosage Phantoms, Imaging Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted
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Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography: Unveiling the Invisible.

Investigative radiology Jun 1, 2018
OBJECTIVES: The aim of this study was to test whether texture analysis and machine learning enable the detection of myocardial infarction (MI) on non-contrast-enhanced low radiation dose cardiac computed tomography (CCT) images.
Radiation Dosage Heart Myocardial Infarction Humans Middle Aged Tomography, X-Ray Computed Reproducibility of Results Adult Cluster Analysis Female Sensitivity and Specificity Machine Learning Aged Diagnosis, Differential Male Retrospective Studies Aged, 80 and over
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