AIMC Topic: Radiation Dosage

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Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction.

Biomedical engineering online Feb 9, 2025
PURPOSE: The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) images based on our Diffused Multi-scale Generative Adversarial Network (DMGAN) to offer a potential balance between reducing radiation exposure and mai...
Humans Radiation Dosage Signal-To-Noise Ratio Neural Networks, Computer Generative Adversarial Networks Image Processing, Computer-Assisted Positron-Emission Tomography
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Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.

European radiology Feb 1, 2025
OBJECTIVES: To exploit the capability of super-resolution deep learning reconstruction (SR-DLR) to save radiation exposure from coronary CT angiography (CCTA) and assess its impact on image quality, coronary plaque quantification and characterization...
Radiation Dosage Aged Humans Plaque, Atherosclerotic Male Prospective Studies Computed Tomography Angiography Middle Aged Female Coronary Angiography Coronary Stenosis Deep Learning Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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Intraindividual Comparison of Image Quality Between Low-Dose and Ultra-Low-Dose Abdominal CT With Deep Learning Reconstruction and Standard-Dose Abdominal CT Using Dual-Split Scan.

Investigative radiology Jan 28, 2025
OBJECTIVE: The aim of this study was to intraindividually compare the conspicuity of focal liver lesions (FLLs) between low- and ultra-low-dose computed tomography (CT) with deep learning reconstruction (DLR) and standard-dose CT with model-based ite...
Radiography, Abdominal Adult Male Middle Aged Deep Learning Liver Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Female Aged Prospective Studies Aged, 80 and over Tomography, X-Ray Computed Young Adult Republic of Korea Humans
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Deep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.

Medical physics Jan 27, 2025
BACKGROUND: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in suc...
Radiation Dosage Head and Neck Neoplasms Humans Heavy Ion Radiotherapy Radiotherapy Dosage Feasibility Studies Monte Carlo Method Deep Learning Radiotherapy Planning, Computer-Assisted Time Factors Quality Assurance, Health Care
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Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.

Medical & biological engineering & computing Jan 23, 2025
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between ima...
Algorithms Deep Learning Image Processing, Computer-Assisted Bayes Theorem Positron-Emission Tomography Radiation Dosage Signal-To-Noise Ratio Humans Monte Carlo Method Uncertainty Whole Body Imaging
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Dual-domain Wasserstein Generative Adversarial Network with Hybrid Loss for Low-dose CT Imaging.

Physics in medicine and biology Jan 20, 2025
Low-dose computed tomography (LDCT) has gained significant attention in hospitals and clinics as a popular imaging modality for reducing the risk of x-ray radiation. However, reconstructed LDCT images often suffer from undesired noise and artifacts, ...
Image Processing, Computer-Assisted Radiation Dosage Humans Generative Adversarial Networks Neural Networks, Computer Tomography, X-Ray Computed
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Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric Study.

Academic radiology Jan 15, 2025
RATIONALE AND OBJECTIVES: Photon Counting CT (PCCT) offers advanced imaging capabilities with potential for substantial radiation dose reduction; however, achieving this without compromising image quality remains a challenge due to increased noise at...
Radiographic Image Interpretation, Computer-Assisted Cadaver Radiation Dosage Signal-To-Noise Ratio Humans Whole Body Imaging Algorithms Photons Tomography, X-Ray Computed Deep Learning
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Deep learning-based image domain reconstruction enhances image quality and pulmonary nodule detection in ultralow-dose CT with adaptive statistical iterative reconstruction-V.

European radiology Jan 10, 2025
OBJECTIVES: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) with adaptive statistical iterative reconstruction-V (ASiR-V) post-processed using a deep learning image reconstruction (DLIR)-based image domain comp...
Tomography, X-Ray Computed Female Aged Male Humans Retrospective Studies Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Middle Aged Deep Learning Image Processing, Computer-Assisted Radiation Dosage
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Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort.

European radiology Jan 8, 2025
OBJECTIVE: To evaluate the repeatability of AI-based automatic measurement of vertebral and cardiovascular markers on low-dose chest CT.
Aged Male Middle Aged Cohort Studies Radiographic Image Interpretation, Computer-Assisted Biomarkers Humans Radiation Dosage Tomography, X-Ray Computed Radiography, Thoracic Artificial Intelligence Female Reproducibility of Results
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Feasibility of reconstructingpatient 3D dose distributions from 2D EPID image data using convolutional neural networks.

Physics in medicine and biology Jan 6, 2025
. The primary purpose of this work is to demonstrate the feasibility of a deep convolutional neural network (dCNN) based algorithm that uses two-dimensional (2D) electronic portal imaging device (EPID) images and CT images as input to reconstruct 3D ...
Humans Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiotherapy Dosage Feasibility Studies Monte Carlo Method Radiotherapy Planning, Computer-Assisted Electrical Equipment and Supplies Radiation Dosage
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