AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Deep Learning Reconstruction Plus Single-Energy Metal Artifact Reduction for Supra Hyoid Neck CT in Patients With Dental Metals.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jun 30, 2023
We investigated the effect of deep learning reconstruction (DLR) plus single-energy metal artifact reduction (SEMAR) on neck CT in patients with dental metals, comparing it with DLR and with hybrid iterative reconstruction (Hybrid IR)-SEMAR. In thi...
Radiation Dosage Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Artifacts Tomography, X-Ray Computed Female Aged Male Middle Aged Deep Learning Humans Algorithms Retrospective Studies
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Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?

Abdominal radiology (New York) Jun 27, 2023
BACKGROUND: CT image reconstruction has evolved from filtered back projection to hybrid- and model-based iterative reconstruction. Deep learning-based image reconstruction is a relatively new technique that uses deep convolutional neural networks to ...
Humans Algorithms Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Retrospective Studies Tomography, X-Ray Computed Deep Learning
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A systematic approach to deep learning-based nodule detection in chest radiographs.

Scientific reports Jun 21, 2023
Lung cancer is a serious disease responsible for millions of deaths every year. Early stages of lung cancer can be manifested in pulmonary lung nodules. To assist radiologists in reducing the number of overseen nodules and to increase the detection a...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Deep Learning Lung Lung Neoplasms Multiple Pulmonary Nodules
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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 ...
Retrospective Studies Tomography, X-Ray Computed Spinal Stenosis Aged Humans Deep Learning Radiation Dosage Adult Algorithms Radiographic Image Interpretation, Computer-Assisted Spinal Canal Male Constriction, Pathologic Middle Aged
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Automated permanent tooth detection and numbering on panoramic radiograph using a deep learning approach.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 8, 2023
OBJECTIVE: This study aimed to assess the performance of the deep learning (DL) model for automated tooth numbering in panoramic radiographs.
Radiographic Image Interpretation, Computer-Assisted Humans Tooth Neural Networks, Computer Dentition, Permanent Male Software Deep Learning Radiography, Panoramic
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Deep-learning CT reconstruction in clinical scans of the abdomen: a systematic review and meta-analysis.

Abdominal radiology (New York) Jun 6, 2023
OBJECTIVE: To perform a systematic literature review and meta-analysis of the two most common commercially available deep-learning algorithms for CT.
Humans Algorithms Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Liver Neoplasms
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Noise power spectrum properties of deep learning-based reconstruction and iterative reconstruction algorithms: Phantom and clinical study.

European journal of radiology Jun 4, 2023
PURPOSE: To compare the noise power spectrum (NPS) properties and perform a qualitative analysis of hybrid iterative reconstruction (IR), model-based IR (MBIR), and deep learning-based reconstruction (DLR) at a similar noise level in clinical study a...
Physical Examination Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Humans Algorithms Tomography, X-Ray Computed Deep Learning
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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.
Deep Learning Radiographic Image Interpretation, Computer-Assisted Anemia Aged Cross-Sectional Studies Male Radiation Dosage Humans Algorithms Retrospective Studies Tomography, X-Ray Computed
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The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions.

Abdominal radiology (New York) May 19, 2023
PURPOSE: To evaluate the efficacy of low-dose CT (LDCT) with deep learning image reconstruction (DLIR) for the surveillance of pancreatic cystic lesions (PCLs) compared with standard-dose CT (SDCT) with adaptive statistical iterative reconstruction (...
Pancreatic Cyst Radiographic Image Interpretation, Computer-Assisted Pancreas Radiation Dosage Tomography, X-Ray Computed Deep Learning Humans Image Processing, Computer-Assisted Algorithms
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LAVA HyperSense and deep-learning reconstruction for near-isotropic (3D) enhanced magnetic resonance enterography in patients with Crohn's disease: utility in noise reduction and image quality improvement.

Diagnostic and interventional radiology (Ankara, Turkey) Apr 25, 2023
PURPOSE: This study aimed to compare near-isotropic contrast-enhanced T1-weighted (CE-T1W) magnetic resonance enterography (MRE) images reconstructed with vendor-supplied deep-learning reconstruction (DLR) with those reconstructed conventionally in t...
Quality Improvement Magnetic Resonance Spectroscopy Contrast Media Humans Radiographic Image Interpretation, Computer-Assisted Crohn Disease Retrospective Studies Deep Learning
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