AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Low-dose liver CT: image quality and diagnostic accuracy of deep learning image reconstruction algorithm.

European radiology Sep 9, 2023
OBJECTIVES: To perform a comprehensive within-subject image quality analysis of abdominal CT examinations reconstructed with DLIR and to evaluate diagnostic accuracy compared to the routinely applied adaptive statistical iterative reconstruction (ASi...
Deep Learning Liver Neoplasms Image Processing, Computer-Assisted Aged, 80 and over Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed Aged
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Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association Sep 5, 2023
In veterinary practice, thin-sliced thoracolumbar MRI is useful in detecting small lesions, especially in small-breed dogs. However, it is challenging due to the partial volume averaging effect and increase in scan time. Currently, deep learning-base...
Dogs Radiation Dosage Signal-To-Noise Ratio Artificial Intelligence Deep Learning Prospective Studies Animals Magnetic Resonance Imaging Radiographic Image Interpretation, Computer-Assisted
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A novel image deep learning-based sub-centimeter pulmonary nodule management algorithm to expedite resection of the malignant and avoid over-diagnosis of the benign.

European radiology Sep 2, 2023
OBJECTIVES: With the popularization of chest computed tomography (CT) screening, there are more sub-centimeter (≤ 1 cm) pulmonary nodules (SCPNs) requiring further diagnostic workup. This area represents an important opportunity to optimize the SCPN ...
Algorithms Lung Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Precancerous Conditions Multiple Pulmonary Nodules Overdiagnosis Solitary Pulmonary Nodule
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Improving radiomics reproducibility using deep learning-based image conversion of CT reconstruction algorithms in hepatocellular carcinoma patients.

European radiology Sep 1, 2023
OBJECTIVES: CT reconstruction algorithms affect radiomics reproducibility. In this study, we evaluate the effect of deep learning-based image conversion on CT reconstruction algorithms.
Humans Algorithms Tomography, X-Ray Computed Liver Neoplasms Carcinoma, Hepatocellular Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Radiomics Deep Learning
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Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.

European radiology Aug 31, 2023
OBJECTIVE: This study aimed to evaluate the image quality and lesion conspicuity of the deep learning image reconstruction (DLIR) algorithm compared with standard image reconstruction algorithms on abdominal enhanced computed tomography (CT) scanning...
Deep Learning Image Processing, Computer-Assisted Body Mass Index Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Tomography, X-Ray Computed Radiation Dosage Phantoms, Imaging
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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.
Middle Aged Deep Learning Cone-Beam Computed Tomography Humans Radiographic Image Interpretation, Computer-Assisted Female Neural Networks, Computer Plaque, Atherosclerotic Aged Carotid Artery Diseases Male
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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.
Quality Improvement Radiation Dosage Lung Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed
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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 ...
Algorithms Male Deep Learning Image Processing, Computer-Assisted Abdomen Radiographic Image Interpretation, Computer-Assisted Humans Radiation Dosage Tomography
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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).
Feasibility Studies Radiation Dosage Computed Tomography Angiography Algorithms Transcatheter Aortic Valve Replacement Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted
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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...
Signal-To-Noise Ratio Computed Tomography Angiography Algorithms Tomography, X-Ray Computed Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Humans Artificial Intelligence
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