AIMC Topic: Radiation Dosage

Clear Filters Showing 1 to 10 of 537 articles

Artificial Intelligence Iterative Reconstruction for Dose Reduction in Pediatric Chest CT: A Clinical Assessment via Below 3 Years Patients With Congenital Heart Disease.

Journal of thoracic imaging Jul 1, 2025
PURPOSE: To assess the performance of a newly introduced deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in reducing the dose of pediatric chest CT by using the image data of below 3-y...
Artificial Intelligence Prospective Studies Tomography, X-Ray Computed Female Humans Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Thoracic Heart Defects, Congenital Male Infant Lung Child, Preschool
View on PubMed DOI

Inconsistency of AI in intracranial aneurysm detection with varying dose and image reconstruction.

Scientific reports Jun 6, 2025
Scanner-related changes in data quality are common in medical imaging, yet monitoring their impact on diagnostic AI performance remains challenging. In this study, we performed standardized consistency testing of an FDA-cleared and CE-marked AI for t...
Humans Artificial Intelligence Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Phantoms, Imaging Intracranial Aneurysm
View on PubMed DOI

Deep learning-based applicator selection between Syed and T&O in high-dose-rate brachytherapy for locally advanced cervical cancer: a retrospective study.

Physics in medicine and biology Jun 6, 2025
High-dose-rate (HDR) brachytherapy is integral to the standard-of-care for locally advanced cervical cancer (LACC). Currently, selection of brachytherapy applicators relies on physician's clinical experience, which can lead to variability in treatmen...
Retrospective Studies Female Uterine Cervical Neoplasms Deep Learning Humans Radiation Dosage Brachytherapy Radiotherapy Dosage
View on PubMed DOI

Improving lower-extremity artery depiction and diagnostic confidence using dual-energy technique and popliteal artery monitoring in dual-low dose CT angiography.

Scientific reports May 9, 2025
To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in dual low-dose (radiation and contrast) lower-extremity CT angiography (LE-CTA). 135 patients undergoing LE-CTA were prospectively included and divided i...
Popliteal Artery Middle Aged Aged Contrast Media Humans Aged, 80 and over Peripheral Arterial Disease Lower Extremity Adult Prospective Studies Radiation Dosage Male Female Signal-To-Noise Ratio Computed Tomography Angiography
View on PubMed DOI

The impact of a simple positioning aid device on the diagnostic performance of thyroid cancer in CT scans: a randomized controlled trial.

Cancer imaging : the official publication of the International Cancer Imaging Society May 8, 2025
OBJECTIVE: To evaluate the effectiveness of a simple positioning aid device in neck CT scans for the diagnosis of thyroid cancer, with a focus on its influence on image quality and diagnostic accuracy.
Female Aged Adult Male Humans Middle Aged Tomography, X-Ray Computed Thyroid Neoplasms Radiation Dosage Patient Positioning
View on PubMed DOI

Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment.

IEEE transactions on neural networks and learning systems May 2, 2025
Low-dose computed tomography (LDCT) image reconstruction techniques can reduce patient radiation exposure while maintaining acceptable imaging quality. Deep learning (DL) is widely used in this problem, but the performance of testing data (also known...
Bayes Theorem Radiation Dosage Uncertainty Humans Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning
View on PubMed DOI

Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

Journal of thoracic imaging May 1, 2025
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).
Radiography, Thoracic Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Female Lung Radiation Dosage Aged Deep Learning Aged, 80 and over Lung Neoplasms Humans Adult Sensitivity and Specificity Algorithms Cross-Sectional Studies Prospective Studies Male Tomography, X-Ray Computed Middle Aged
View on PubMed DOI

Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data.

BMC medical imaging Apr 29, 2025
BACKGROUND: To assess the effect of the combination of deep learning reconstruction (DLR) and time-resolved maximum intensity projection (tMIP) or time-resolved average (tAve) post-processing method on image quality of CTA derived from low-dose cereb...
Humans Signal-To-Noise Ratio Retrospective Studies Computed Tomography Angiography Deep Learning Female Adult Image Processing, Computer-Assisted Aged Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Radiation Dosage
View on PubMed DOI

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 ...
Phantoms, Imaging Radiation Exposure Adult Male Humans Deep Learning Middle Aged Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Female Radiation Dosage Aged Radiography, Thoracic
View on PubMed DOI

Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Scientific reports Apr 17, 2025
Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteries from similar signal intensity and proximity (i.e., vertebrae and skull). However, sCTA is not considered mainstream because of the high radiation d...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Radiation Dosage Datasets as Topic Computed Tomography Angiography Cerebral Arteries
View on PubMed DOI
Popular Topics
Recent Journals