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Radiographic Image Interpretation, Computer-Assisted

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Detection of extracranial and intracranial calcified carotid artery atheromas in cone beam computed tomography using a deep learning convolutional neural network image segmentation approach.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 17, 2023
OBJECTIVE: We leveraged an artificial intelligence deep-learning convolutional neural network (DL CNN) to detect calcified carotid artery atheromas (CCAAs) on cone beam computed tomography (CBCT) images.
Humans Neural Networks, Computer Female Aged Male Carotid Artery Diseases Middle Aged Deep Learning Cone-Beam Computed Tomography Radiographic Image Interpretation, Computer-Assisted Plaque, Atherosclerotic
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Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window.

European radiology Aug 15, 2023
OBJECTIVES: To explore the performance of low-dose computed tomography (LDCT) with deep learning reconstruction (DLR) for the improvement of image quality and assessment of lung parenchyma.
Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Quality Improvement Humans Tomography, X-Ray Computed Algorithms Lung Deep Learning
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A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results.

Journal of digital imaging Aug 14, 2023
This study aimed to compare the performance of deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V) in improving image quality and diagnostic performance using virtual monochromatic spectral images ...
Tomography Male Deep Learning Image Processing, Computer-Assisted Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms
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The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation.

Journal of computer assisted tomography Aug 11, 2023
OBJECTIVE: The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DLR) on low-tube-voltage computed tomographic angiography (CTA) for transcatheter aortic valve implantation (TAVI).
Algorithms Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Transcatheter Aortic Valve Replacement Feasibility Studies Radiation Dosage Computed Tomography Angiography
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An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images.

European radiology Aug 5, 2023
OBJECTIVES: Virtual monochromatic images (VMI) are increasingly used in clinical practice as they improve contrast-to-noise ratio. However, due to their different appearances, the performance of artificial intelligence (AI) trained on conventional CT...
Humans Artificial Intelligence Signal-To-Noise Ratio Computed Tomography Angiography Tomography, X-Ray Computed Algorithms Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Pulmonary Embolism
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Training certified detectives to track down the intrinsic shortcuts in COVID-19 chest x-ray data sets.

Scientific reports Aug 4, 2023
Deep learning faces a significant challenge wherein the trained models often underperform when used with external test data sets. This issue has been attributed to spurious correlations between irrelevant features in the input data and corresponding ...
Radiography, Thoracic Humans X-Rays COVID-19 Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep learning reconstruction CT for liver metastases: low-dose dual-energy vs standard-dose single-energy.

European radiology Aug 2, 2023
OBJECTIVES: To assess image quality and liver metastasis detection of reduced-dose dual-energy CT (DECT) with deep learning image reconstruction (DLIR) compared to standard-dose single-energy CT (SECT) with DLIR or iterative reconstruction (IR).
Humans Algorithms Prospective Studies Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Liver Neoplasms
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Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.

Japanese journal of radiology Jul 27, 2023
PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety of organs, and compared with other reconstruction methods. The purpose of this study was to compare the capabilities of DLR for ...
Lung Humans Deep Learning Algorithms Lung Diseases Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed
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Ultra-low-dose computed tomography with deep learning reconstruction for craniosynostosis at radiation doses comparable to skull radiographs: a pilot study.

Pediatric radiology Jul 25, 2023
BACKGROUND: Craniofacial computed tomography (CT) is the diagnostic investigation of choice for craniosynostosis, but high radiation dose remains a concern.
Skull Craniosynostoses Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Pilot Projects Algorithms Child Humans Tomography, X-Ray Computed Deep Learning
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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).
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Heart Rate Computed Tomography Angiography Tomography, X-Ray Computed Humans Deep Learning Algorithms Coronary Angiography
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