AI Medical Compendium Journal:
Journal of computer assisted tomography

Showing 21 to 30 of 55 articles

Deep Learning-Based Motion Correction in Projection Domain for Coronary Computed Tomography Angiography: A Clinical Evaluation.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: This study aimed to evaluate the clinical performance of a deep learning-based motion correction algorithm (MCA) in projection domain for coronary computed tomography angiography (CCTA).
Humans Algorithms Tomography, X-Ray Computed Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Heart Rate Deep Learning Radiation Dosage Coronary Angiography
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Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: To evaluate the image quality and lesion detectability of pancreatic phase thin-slice computed tomography (CT) images reconstructed with a deep learning-based reconstruction (DLR) algorithm compared with filtered-back projection (FBP) and ...
Humans Algorithms Pancreatic Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Retrospective Studies Tomography, X-Ray Computed Deep Learning
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Computed Tomography-Based Deep Learning Model for Assessing the Severity of Patients With Connective Tissue Disease-Associated Interstitial Lung Disease.

Journal of computer assisted tomography Jul 7, 2023
OBJECTIVES: This study aimed to develop a computed tomography (CT)-based deep learning model for assessing the severity of patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD).
Connective Tissue Diseases Cysts Lung Diseases, Interstitial Humans Retrospective Studies Tomography, X-Ray Computed Lung Deep Learning
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Deep Learning-Based Image Noise Quantification Framework for Computed Tomography.

Journal of computer assisted tomography Jun 30, 2023
OBJECTIVE: Noise quantification is fundamental to computed tomography (CT) image quality assessment and protocol optimization. This study proposes a deep learning-based framework, Single-scan Image Local Variance EstimatoR (SILVER), for estimating th...
Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted Thorax Phantoms, Imaging
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Effect of Deep Learning Reconstruction on Evaluating Cervical Spinal Canal Stenosis With Computed Tomography.

Journal of computer assisted tomography Jun 9, 2023
OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal stenosis; however, some patients are ineligible for MRI. We aimed to assess the effect of deep learning reconstruction (DLR) in evaluating cervical spinal ...
Radiation Dosage Spinal Canal Constriction, Pathologic Spinal Stenosis Aged Adult Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Retrospective Studies Tomography, X-Ray Computed
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A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging.

Journal of computer assisted tomography Jun 9, 2023
OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction technique) for 3 T magnetic resonance imaging of the female pelvis.
Image Enhancement Female Deep Learning Magnetic Resonance Imaging Pelvis Feasibility Studies Artifacts Humans
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Prediction of Anemia From Cerebral Venous Sinus Attenuation on Deep-Learning Reconstructed Brain Computed Tomography Images.

Journal of computer assisted tomography May 26, 2023
OBJECTIVE: The aim of the study is to evaluate whether the prediction of anemia is possible using quantitative analyses of unenhanced cranial computed tomography (CT) with deep learning reconstruction (DLR) compared with conventional methods.
Radiographic Image Interpretation, Computer-Assisted Anemia Radiation Dosage Male Tomography, X-Ray Computed Deep Learning Aged Humans Cross-Sectional Studies Algorithms Retrospective Studies
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Prediction of MYCN Gene Amplification in Pediatric Neuroblastomas: Development of a Deep Learning-Based Tool for Automatic Tumor Segmentation and Comparative Analysis of Computed Tomography-Based Radiomics Features Harmonization.

Journal of computer assisted tomography May 26, 2023
OBJECTIVE: MYCN oncogene amplification is closely linked to high-grade neuroblastoma with poor prognosis. Accurate quantification is essential for risk assessment, which guides clinical decision making and disease management. This study proposes an e...
Humans Tomography, X-Ray Computed Deep Learning Child Gene Amplification N-Myc Proto-Oncogene Protein Neuroblastoma
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A Characterization of Deep Learning Reconstruction Applied to Dual-Energy Computed Tomography Monochromatic and Material Basis Images.

Journal of computer assisted tomography Mar 22, 2023
OBJECTIVE: Advancements in computed tomography (CT) reconstruction have enabled image quality improvements and dose reductions. Previous advancements have included iterative and model-based reconstruction. The latest image reconstruction advancement ...
Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Radiation Dosage Quality Improvement Humans Deep Learning Phantoms, Imaging Image Processing, Computer-Assisted Algorithms
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Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging With Various Sequences.

Journal of computer assisted tomography Mar 9, 2023
OBJECTIVE: For compressed sensing (CS) to become widely used in routine magnetic resonance imaging (MRI), it is essential to improve image quality. This study aimed to evaluate the usefulness of combining CS and deep learning-based reconstruction (DL...
Magnetic Resonance Imaging Humans Shoulder Retrospective Studies Deep Learning Shoulder Joint
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