AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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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...
Lung Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Cadaver Radiation Dosage
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Simplified Transfer Learning for Chest Radiography Models Using Less Data.

Radiology Jul 19, 2022
Background Developing deep learning models for radiology requires large data sets and substantial computational resources. Data set size limitations can be further exacerbated by distribution shifts, such as rapid changes in patient populations and s...
Radiography Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Retrospective Studies Deep Learning Humans Machine Learning Pandemics COVID-19
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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...
Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed Phantoms, Imaging Radiation Dosage 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
Perfusion Radiation Dosage Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans
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Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction.

Medicina (Kaunas, Lithuania) Jul 15, 2022
Background and Objectives: Although reducing the radiation dose level is important during diagnostic computed tomography (CT) applications, effective image quality enhancement strategies are crucial to compensate for the degradation that is caused by...
Humans Prospective Studies Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Emphysema
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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 Algorithms Radiation Dosage Phantoms, Imaging Drug Tapering Abdomen Radiographic Image Interpretation, Computer-Assisted Sheep
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Applicability analysis of immunotherapy for lung cancer patients based on deep learning.

Methods (San Diego, Calif.) Jul 6, 2022
According to global and Chinese cancer statistics, lung cancer is the second most common cancer globally with the highest mortality rate and a severe threat to human life and health. In recent years, immunotherapy has made significant breakthroughs i...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Lung Humans Deep Learning Neural Networks, Computer Lung Neoplasms Immunotherapy Solitary Pulmonary Nodule
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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).
Tomography, X-Ray Computed Humans Deep Learning Lung Diseases, Interstitial Radiographic Image Interpretation, Computer-Assisted Algorithms Radiation Dosage 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...
Radiation Dosage Phantoms, Imaging Drug Tapering Deep Learning Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Humans
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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
Abdomen Tomography, X-Ray Computed Humans Radiographic Image Interpretation, Computer-Assisted Obesity Algorithms Deep Learning Radiation Dosage Pelvis Image Processing, Computer-Assisted
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