AIMC Topic: Radiation Dosage

Clear Filters Showing 71 to 80 of 546 articles

An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study.

European radiology experimental Nov 20, 2024
BACKGROUND: To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED).
Multiple Pulmonary Nodules Humans Male Solitary Pulmonary Nodule Artificial Intelligence Algorithms Middle Aged Prospective Studies Retrospective Studies Deep Learning Tomography, X-Ray Computed Lung Neoplasms Female Aged Emergency Service, Hospital Radiation Dosage
View on PubMed DOI

Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Humans Algorithms Prospective Studies Tomography, X-Ray Computed Female Male Deep Learning Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Feasibility Studies Pelvic Neoplasms Organs at Risk Radiotherapy, Image-Guided Radiographic Image Enhancement Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Abdominal Neoplasms
View on PubMed DOI

Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment.

Academic radiology Nov 13, 2024
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in aortic computed tomography angiography (CTA) through the application of low tube voltage (60kVp) and a novel deep learning image reconstruction algorit...
Aortography Radiation Dosage Aorta Phantoms, Imaging Computed Tomography Angiography Aged Contrast Media Humans Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Algorithms Feasibility Studies Deep Learning Prospective Studies Female
View on PubMed DOI

Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.

Physics in medicine and biology Nov 12, 2024
. Intensity modulated proton therapy (IMPT) is susceptible to uncertainties in patient setup and proton range. Robust optimization is employed in IMPT treatment planning to ensure sufficient coverage of the clinical target volume (CTV) in predefined ...
Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Proton Therapy Head and Neck Neoplasms Humans Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed
View on PubMed DOI

Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom Study.

Journal of computer assisted tomography Nov 5, 2024
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate liver tumor measurements of a computer-aided volumetry (CAD v ) software for filtered back projection (FBP), hybrid-type iterative reconstruction (IR...
Phantoms, Imaging Humans Tomography, X-Ray Computed Deep Learning Liver Neoplasms Liver Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio
View on PubMed DOI

Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and the Open-Access Sybil Algorithm.

Investigative radiology Oct 23, 2024
PURPOSE: Sybil is a validated publicly available deep learning-based algorithm that can accurately predict lung cancer risk from a single low-dose computed tomography (LDCT) scan. We aimed to study the effect of image reconstruction parameters and CT...
Male Middle Aged Risk Assessment Deep Learning Algorithms Tomography, X-Ray Computed Female Aged Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans
View on PubMed DOI

Lung nodule classification using radiomics model trained on degraded SDCT images.

Computer methods and programs in biomedicine Oct 23, 2024
BACKGROUND AND OBJECTIVE: Low-dose computed tomography (LDCT) screening has shown promise in reducing lung cancer mortality; however, it suffers from high false positive rates and a scarcity of available annotated datasets. To overcome these challeng...
Tomography, X-Ray Computed Reproducibility of Results Radiomics Image Processing, Computer-Assisted Humans Machine Learning Algorithms Radiation Dosage Lung Neoplasms Logistic Models Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

Deep Learning-Based Estimation of Radiographic Position to Automatically Set Up the X-Ray Prime Factors.

Journal of imaging informatics in medicine Oct 14, 2024
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, and source-detector distance. These parameters are set by the X-ray technician prior to the acquisition considering the radiographic position. A wrong ...
Deep Learning Radiography Radiation Dosage X-Rays Humans
View on PubMed DOI

Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load.

Journal of computer assisted tomography Oct 10, 2024
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image contrast-boosting algorithm by enhancing the image quality of low-dose computed tomography pulmonary angiography at reduced iodine load.
Humans Algorithms Retrospective Studies Contrast Media Radiographic Image Interpretation, Computer-Assisted Pulmonary Embolism Radiation Dosage Male Computed Tomography Angiography Middle Aged Female Radiographic Image Enhancement Deep Learning Aged Pulmonary Artery Iodine Aged, 80 and over Adult
View on PubMed DOI

Reconstructing and analyzing the invariances of low-dose CT image denoising networks.

Medical physics Sep 30, 2024
BACKGROUND: Deep learning-based methods led to significant advancements in many areas of medical imaging, most of which are concerned with the reduction of artifacts caused by motion, scatter, or noise. However, with most neural networks being black ...
Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio
View on PubMed DOI
Popular Topics
Recent Journals