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Radiation Dosage

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Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks.

European radiology Jun 27, 2023
OBJECTIVE: We propose a deep learning-guided approach to generate voxel-based absorbed dose maps from whole-body CT acquisitions.
Humans Neural Networks, Computer Tomography, X-Ray Computed Radiation Dosage Monte Carlo Method Phantoms, Imaging Whole Body Imaging
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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 ...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Algorithms Retrospective Studies Humans
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Deep learning-based body weight from scout images can be an alternative to actual body weight in CT radiation dose management.

Journal of applied clinical medical physics Jun 19, 2023
PURPOSE: Accurate body weight measurement is essential to promote computed tomography (CT) dose optimization; however, body weight cannot always be measured prior to CT examination, especially in the emergency setting. The aim of this study was to in...
Humans Deep Learning Body Weight Radiation Dosage Retrospective Studies Tomography, X-Ray Computed Adult
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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 ...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Constriction, Pathologic Spinal Stenosis Radiation Dosage Spinal Canal Aged Male Adult Middle Aged Deep Learning
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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.
Liver Neoplasms Abdomen Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Deep Learning Radiation Dosage Humans Algorithms
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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...
Radiation Dosage Tomography, X-Ray Computed Phantoms, Imaging Deep Learning Physical Examination Radiographic Image Interpretation, Computer-Assisted Humans Algorithms
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Noise reduction performance of a deep learning-based reconstruction in brain computed tomography images acquired with organ-based tube current modulation.

Physical and engineering sciences in medicine Jun 2, 2023
We aimed to evaluate the image quality of brain computed tomography (CT) images reconstructed using deep learning-based reconstruction (DLR) in organ-based tube current modulation (OB-TCM) acquisition. An anthropomorphic head phantom and a cylindrica...
Deep Learning Radiation Dosage Phantoms, Imaging Algorithms Tomography, X-Ray Computed
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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.
Cross-Sectional Studies Male Deep Learning Radiographic Image Interpretation, Computer-Assisted Anemia Retrospective Studies Tomography, X-Ray Computed Aged Humans Algorithms Radiation Dosage
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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 Humans Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed
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Coronary Computed Tomography Angiography with Deep Learning Image Reconstruction: A Preliminary Study to Evaluate Radiation Exposure Reduction.

Tomography (Ann Arbor, Mich.) May 16, 2023
Coronary computed tomography angiography (CCTA) is a medical imaging technique that produces detailed images of the coronary arteries. Our work focuses on the optimization of the prospectively ECG-triggered scan technique, which delivers the radiatio...
Deep Learning Image Processing, Computer-Assisted Coronary Angiography Prospective Studies Radiation Dosage Computed Tomography Angiography Radiation Exposure
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