AIMC Topic: Radiation Dosage

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Utilization of artificial intelligence approach for prediction of DLP values for abdominal CT scans: A high accuracy estimation for risk assessment.

Frontiers in public health Jul 28, 2022
PURPOSE: This study aimed to evaluate Artificial Neural Network (ANN) modeling to estimate the significant dose length product (DLP) value during the abdominal CT examinations for quality assurance in a retrospective, cross-sectional study.
Risk Assessment Retrospective Studies Bayes Theorem Tomography, X-Ray Computed Humans Cross-Sectional Studies Artificial Intelligence Radiation Dosage
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Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT.

European radiology Jul 27, 2022
OBJECTIVES: To evaluate a novel deep learning image reconstruction (DLIR) technique for dual-energy CT (DECT) derived virtual monoenergetic (VM) images compared to adaptive statistical iterative reconstruction (ASIR-V) in low kiloelectron volt (keV) ...
Tomography, X-Ray Computed Liver Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Image Processing, Computer-Assisted Radiation Dosage
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Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.

European radiology Jul 21, 2022
OBJECTIVES: To assess the impact of a new artificial intelligence deep-learning reconstruction (Precise Image; AI-DLR) algorithm on image quality against a hybrid iterative reconstruction (IR) algorithm in abdominal CT for different clinical indicati...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Drug Tapering Algorithms Tomography, X-Ray Computed Deep Learning Humans Artificial Intelligence
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The evaluation of the reduction of radiation dose via deep learning-based reconstruction for cadaveric human lung CT images.

Scientific reports Jul 20, 2022
To compare the quality of CT images of the lung reconstructed using deep learning-based reconstruction (True Fidelity Image: TFI ™; GE Healthcare) to filtered back projection (FBP), and to determine the minimum tube current-time product in TFI withou...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Cadaver Tomography, X-Ray Computed Lung Radiation Dosage Humans Algorithms
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Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

European radiology Jul 16, 2022
OBJECTIVE: Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR), high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in conjunction with multi-detector CT (MDCT). Moreover, deep learning reco...
Phantoms, Imaging Tomography, X-Ray Computed Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Radiation Dosage Algorithms Thorax
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Deep-learning reconstruction to improve image quality of myocardial dynamic CT perfusion: comparison with hybrid iterative reconstruction.

Clinical radiology Jul 16, 2022
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Perfusion
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Deep learning versus iterative reconstruction on image quality and dose reduction in abdominal CT: a live animal study.

Physics in medicine and biology Jul 8, 2022
While simulated low-dose CT images and phantom studies cannot fully approximate subjective and objective effects of deep learning (DL) denoising on image quality, live animal models may afford this assessment. This study is to investigate the potenti...
Tomography, X-Ray Computed Animals Deep Learning Radiation Dosage Algorithms Phantoms, Imaging Drug Tapering Abdomen Radiographic Image Interpretation, Computer-Assisted Sheep
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Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.

European radiology Jun 24, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and reduce radiation dose in interstitial lung disease (ILD) patients compared with HRCT reconstructed with hybrid iterative reconstruction (hybrid-IR).
Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Radiation Dosage Tomography, X-Ray Computed Deep Learning Humans Algorithms Prospective Studies
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Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.

Medical physics Jun 24, 2022
BACKGROUND: Recently, computed tomography (CT) manufacturers have developed deep-learning-based reconstruction algorithms to compensate for the limitations of iterative reconstruction (IR) algorithms, such as image smoothing and the spatial resolutio...
Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Radiation Dosage Deep Learning Drug Tapering Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted
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Commentary On: Image Quality Evaluation in Dual Energy CT of the Chest, Abdomen and Pelvis in Obese Patients with Deep Learning Image Reconstruction.

Journal of computer assisted tomography Jun 23, 2022
Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Deep Learning Pelvis Abdomen Radiographic Image Interpretation, Computer-Assisted Obesity Algorithms Radiation Dosage
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