AI Medical Compendium Journal:
Journal of computer assisted tomography

Showing 31 to 40 of 55 articles

Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.

Journal of computer assisted tomography Mar 3, 2023
OBJECTIVE: This study aimed to investigate the impact of deep-learning reconstruction (DLR) on the detailed evaluation of solitary lung nodule using high-resolution computed tomography (HRCT) compared with hybrid iterative reconstruction (hybrid IR).
Radiation Dosage Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Aged Aged, 80 and over Retrospective Studies Middle Aged Male Tomography, X-Ray Computed Lung Female Deep Learning Humans Algorithms
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Deep Learning Denoising of Low-Dose Computed Tomography Chest Images: A Quantitative and Qualitative Image Analysis.

Journal of computer assisted tomography Jan 28, 2023
PURPOSE: To assess deep learning denoised (DLD) computed tomography (CT) chest images at various low doses by both quantitative and qualitative perceptual image analysis.
Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Iterative Reconstruction: State-of-the-Art and Future Perspectives.

Journal of computer assisted tomography Dec 13, 2022
Image reconstruction processing in computed tomography (CT) has evolved tremendously since its creation, succeeding at optimizing radiation dose while maintaining adequate image quality. Computed tomography vendors have developed and implemented vari...
Radiation Dosage Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Child
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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
Humans Obesity Pelvis Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Abdomen
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Liver Attenuation Assessment in Reduced Radiation Chest Computed Tomography.

Journal of computer assisted tomography Jun 3, 2022
OBJECTIVE: This study aimed to evaluate the reliability of liver and spleen Hounsfield units (HU) measurements in reduced radiation computed tomography (RRCT) of the chest within the sub-millisievert range.
Tomography, X-Ray Computed Reproducibility of Results Fatty Liver Prospective Studies Retrospective Studies Humans Artificial Intelligence
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Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography.

Journal of computer assisted tomography May 20, 2022
PURPOSE: This study aimed to evaluate the feasibility of a deep learning method for imaging artifact and noise reduction in coronal reformation of contrast-enhanced chest computed tomography (CT).
Artifacts Signal-To-Noise Ratio Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Feasibility Studies Humans Image Processing, Computer-Assisted Algorithms
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Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning.

Journal of computer assisted tomography May 18, 2022
OBJECTIVE: The purpose of this pilot study was to examine human and automated estimates of reporting complexity for computed tomography (CT) studies of the abdomen and pelvis.
Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Pilot Projects Pelvis Humans
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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 Apr 27, 2022
OBJECTIVE: The aim of this study was to evaluate image quality in vascular and oncologic dual-energy computed tomography (CT) imaging studies performed with a deep learning (DL)-based image reconstruction algorithm in patients with body mass index of...
Abdomen Tomography, X-Ray Computed Pelvis Humans Obesity Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Radiation Dosage
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Deep Learning-Based Automatic CT Quantification of Coronavirus Disease 2019 Pneumonia: An International Collaborative Study.

Journal of computer assisted tomography Apr 8, 2022
OBJECTIVE: We aimed to develop and validate the automatic quantification of coronavirus disease 2019 (COVID-19) pneumonia on computed tomography (CT) images.
Retrospective Studies Tomography, X-Ray Computed Deep Learning Pneumonia Humans COVID-19
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Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network.

Journal of computer assisted tomography May 13, 2025
OBJECTIVES: We evaluated the feasibility of using deep learning with a convolutional neural network for predicting bone mineral density (BMD) and bone microarchitecture from conventional computed tomography (CT) images acquired by multivendor scanner...
Humans Bone Density Feasibility Studies Bone Diseases, Metabolic Absorptiometry, Photon Osteoporosis Deep Learning Lumbar Vertebrae
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