AIMC Topic: Radiation Dosage

Clear Filters Showing 281 to 290 of 546 articles

A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography.

Journal of thoracic imaging Apr 5, 2022
PURPOSE: We aimed to identify clinically relevant deep learning algorithms for emphysema quantification using low-dose chest computed tomography (LDCT) through an invitation-based competition.
Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Radiation Dosage Tomography, X-Ray Computed Deep Learning Emphysema Humans Algorithms Retrospective Studies
View on PubMed DOI

A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.

Scientific reports Apr 1, 2022
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2AX foci assa...
Radiation Dosage DNA Breaks, Double-Stranded X-Rays Deep Learning Microscopy, Confocal
View on PubMed DOI

Value of deep learning reconstruction at ultra-low-dose CT for evaluation of urolithiasis.

European radiology Mar 31, 2022
OBJECTIVES: To determine the diagnostic accuracy and image quality of ultra-low-dose computed tomography (ULDCT) with deep learning reconstruction (DLR) to evaluate patients with suspected urolithiasis, compared with ULDCT with hybrid iterative recon...
Humans Urolithiasis Urinary Calculi Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Radiation Dosage
View on PubMed DOI

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.

Japanese journal of radiology Mar 14, 2022
PURPOSE: To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in unenhanced abdominal low-dose CT (LDCT).
Radiation Dosage Signal-To-Noise Ratio Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed Deep Learning
View on PubMed DOI

Radiation and iodine dose reduced thoraco-abdomino-pelvic dual-energy CT at 40 keV reconstructed with deep learning image reconstruction.

The British journal of radiology Mar 4, 2022
OBJECTIVE: To evaluate the feasibility of a simultaneous reduction of radiation and iodine doses in dual-energy thoraco-abdomino-pelvic CT reconstructed with deep learning image reconstruction (DLIR).
Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Iodides Deep Learning Algorithms Iodine Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 4, 2022
BACKGROUND AND PURPOSE: Hybrid iterative reconstruction (HIR) is the most commonly used algorithm for four-dimensional computed tomography (4DCT) reconstruction due to its high speed. However, the image quality is worse than that of model-based itera...
Four-Dimensional Computed Tomography Algorithms Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans
View on PubMed DOI

Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen.

European radiology Mar 3, 2022
OBJECTIVES: To evaluate the usefulness of deep learning image reconstruction (DLIR) to improve the image quality of dual-energy computed tomography (DECT) of the abdomen, compared to hybrid iterative reconstruction (IR).
Algorithms Tomography, X-Ray Computed Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Iodine Image Processing, Computer-Assisted Abdomen
View on PubMed DOI

Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.

AJR. American journal of roentgenology Feb 23, 2022
Deep learning-based reconstruction (DLR) may facilitate CT radiation dose reduction, but a paucity of literature has compared lower-dose DLR images with standard-dose iterative reconstruction (IR) images or explored application of DLR to low-tube-vo...
Humans Drug Tapering Algorithms Child Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Deep Learning Radiation Dosage Child, Preschool
View on PubMed DOI

Deep learning reconstruction improves radiomics feature stability and discriminative power in abdominal CT imaging: a phantom study.

European radiology Feb 16, 2022
OBJECTIVES: To compare image quality of deep learning reconstruction (AiCE) for radiomics feature extraction with filtered back projection (FBP), hybrid iterative reconstruction (AIDR 3D), and model-based iterative reconstruction (FIRST).
Deep Learning Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Algorithms Tomography, X-Ray Computed Aged Humans
View on PubMed DOI

Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume.

European journal of radiology Feb 15, 2022
PURPOSE: To investigate the image quality and feasibility of a novel artificial intelligence iterative reconstruction (AIIR) algorithm for aortic computer tomography angiography (CTA) with a low radiation dose and contrast material (CM) dosage protoc...
Feasibility Studies Radiation Dosage Aged Humans Adult Algorithms Middle Aged Artificial Intelligence Computers Contrast Media Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals