AIMC Topic: Radiation Exposure
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Reduction of radiation exposure in chest radiography using deep learning-based noise reduction processing: A phantom and retrospective clinical study.
Radiography (London, England : 1995)
Apr 24, 2025
INTRODUCTION: Intelligent noise reduction (INR), a deep learning-based noise reduction developed by Canon, is used in planar radiography to improve image quality and reduce patient exposure dose. This study aimed to evaluate the reduction of patient ...
Power absorption and temperature rise in deep learning based head models for local radiofrequency exposures.
Physics in medicine and biology
Mar 11, 2025
Computational uncertainty and variability of power absorption and temperature rise in humans for radiofrequency (RF) exposure is a critical factor in ensuring human protection. This aspect has been emphasized as a priority. However, accurately modeli...
Research on predicting radiographic exposure time in imaging based on neural network prediction models.
Clinical neurology and neurosurgery
Jan 20, 2025
OBJECTIVE: To explore the anatomical and clinical factors that affect the radiographic exposure time in radial artery cerebral angiography and to establish a model.
The SINFONIA project repository for AI-based algorithms and health data.
Frontiers in public health
Oct 23, 2024
The SINFONIA project's main objective is to develop novel methodologies and tools that will provide a comprehensive risk appraisal for detrimental effects of radiation exposure on patients, workers, caretakers, and comforters, the public, and the env...
Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy.
BMC medical informatics and decision making
Jun 20, 2024
INTRODUCTION: The correlation between radiation exposure before pregnancy and abnormal birth weight has been previously proven. However, for large-for-gestational-age (LGA) babies in women exposed to radiation before becoming pregnant, there is no pr...
Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction.
European journal of radiology
May 22, 2024
BACKGROUND: Neck computed tomography (NCT) is essential for diagnosing suspected neck tumors and abscesses, but radiation exposure can be an issue. In conventional reconstruction techniques, limiting radiation dose comes at the cost of diminished dia...
Comparative analysis of radiation exposure in robot-assisted total knee arthroplasty using popular robotic systems.
Journal of robotic surgery
Mar 16, 2024
Robotic-assisted TKA (RATKA) is a rapidly emerging technique that has been shown to improve precision and accuracy in implant alignment in TKA. Robotic-assisted TKA (RATKA) uses computer software to create a three-dimensional model of the patient's k...
Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?
Journal of cardiovascular computed tomography
Mar 12, 2024
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.
Humans
Radiation Dosage
Reproducibility of Results
Heart Defects, Congenital
Radiation Exposure
Age Factors
Infant
Cardiac-Gated Imaging Techniques
Predictive Value of Tests
Phantoms, Imaging
Deep Learning
Coronary Angiography
Computed Tomography Angiography
Electrocardiography
Radiographic Image Interpretation, Computer-Assisted
Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure - How low can we go?
European journal of radiology
Feb 16, 2024
Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT.
Academic radiology
Nov 21, 2023
OBJECTIVES: In interventional bronchial artery embolization (BAE), periprocedural cone beam CT (CBCT) improves guiding and localization. However, a trade-off exists between 6-second runs (high radiation dose and motion artifacts, but low noise) and 3...
Radiography, Interventional
Deep Learning
Aged
Radiation Exposure
Artifacts
Cone-Beam Computed Tomography
Humans
Bronchial Arteries
Adult
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Embolization, Therapeutic
Male
Female
Radiation Dosage
Middle Aged
Signal-To-Noise Ratio
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