AIMC Topic: Radiation Dosage
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Effective Dose Estimation in Computed Tomography by Machine Learning.
Tomography (Ann Arbor, Mich.)
Jan 2, 2025
BACKGROUND: Computed tomography scans are widely used in everyday medical practice due to speed, image reliability, and detectability of a wide range of pathologies. Each scan exposes the patient to a radiation dose, and performing a fast estimation ...
Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising.
IEEE transactions on medical imaging
Jan 2, 2025
Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer risk. However, the use of low-dose CT (LDCT) images is accompanied by increased noise that can negatively impact diagnoses. Although numerous deep lear...
Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model.
Technology and health care : official journal of the European Society for Engineering and Medicine
Dec 29, 2024
BackgroundEffective brain tumour therapy and better patient outcomes depend on early tumour diagnosis. Accurate diagnosis can be hampered by traditional imaging techniques' frequent struggles with low resolution and noise, especially in Low Dose CT s...
Machine learning techniques for the prediction of indoor gamma-ray dose rates - Strengths, weaknesses and implications for epidemiology.
Journal of environmental radioactivity
Dec 27, 2024
We investigate methods that improve the estimation of indoor gamma ray dose rates at locations where measurements had not been made. These new predictions use a greater range of modelling techniques and larger variety of explanatory variables than ou...
Descriptive overview of AI applications in x-ray imaging and radiotherapy.
Journal of radiological protection : official journal of the Society for Radiological Protection
Dec 27, 2024
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data, learning patterns, and making accurate predictions, leading to improved patient outcomes. This article examines the use of AI in optimising radiatio...
Automated Measurement of Effective Radiation Dose by F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography.
Tomography (Ann Arbor, Mich.)
Dec 23, 2024
BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a significant challenge. The objective of this study is to develop a deep learning-based automated program that standardizes the measurement of radiation dos...
Image quality assessment of artificial intelligence iterative reconstruction for low dose unenhanced abdomen: comparison with hybrid iterative reconstruction.
Abdominal radiology (New York)
Dec 21, 2024
OBJECTIVES: To assess the impact of artificial intelligence iterative reconstruction algorithms (AIIR) on image quality with phantom and clinical studies.
Deep learning model for low-dose CT late iodine enhancement imaging and extracellular volume quantification.
European radiology
Dec 20, 2024
OBJECTIVES: To develop and validate deep learning (DL)-models that denoise late iodine enhancement (LIE) images and enable accurate extracellular volume (ECV) quantification.
Middle Aged
Retrospective Studies
Deep Learning
Tomography, X-Ray Computed
Iodine
Signal-To-Noise Ratio
Humans
Female
Computed Tomography Angiography
Aged
Contrast Media
Male
Myocardial Perfusion Imaging
Radiographic Image Interpretation, Computer-Assisted
Radiographic Image Enhancement
Radiation Dosage
Quantitative analysis of deep learning reconstruction in CT angiography: Enhancing CNR and reducing dose.
Journal of X-ray science and technology
Dec 18, 2024
BACKGROUND: Computed tomography angiography (CTA) provides significant information on image quality in vascular imaging, thus offering high-resolution images despite having the disadvantages of increased radiation doses and contrast agent-related sid...
Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current.
BMC medical informatics and decision making
Dec 18, 2024
BACKGROUND: The low tube-voltage technique (e.g., 80 kV) can efficiently reduce the radiation dose and increase the contrast enhancement of vascular and parenchymal structures in abdominal CT. However, a high tube current is always required in this s...
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