AIMC Topic: Radiation Dosage

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Deep Guess acceleration for explainable image reconstruction in sparse-view CT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 21, 2025
Sparse-view Computed Tomography (CT) is an emerging protocol designed to reduce X-ray dose radiation in medical imaging. Reconstructions based on the traditional Filtered Back Projection algorithm suffer from severe artifacts due to sparse data. In c...
Algorithms Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Artifacts Radiation Dosage Image Processing, Computer-Assisted Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted
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Asymmetric Convolution-based GAN Framework for Low-Dose CT Image Denoising.

Computers in biology and medicine Mar 18, 2025
Noise reduction is essential to improve the diagnostic quality of low-dose CT (LDCT) images. In this regard, data-driven denoising methods based on generative adversarial networks (GAN) have shown promising results. However, custom designs with 2D co...
Radiation Dosage Signal-To-Noise Ratio Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep learning-based segmentation of ultra-low-dose CT images using an optimized nnU-Net model.

La Radiologia medica Mar 18, 2025
PURPOSE: Low-dose CT protocols are widely used for emergency imaging, follow-ups, and attenuation correction in hybrid PET/CT and SPECT/CT imaging. However, low-dose CT images often suffer from reduced quality depending on acquisition and patient att...
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Humans Algorithms
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Estimating patient-specific organ doses from head and abdominal CT scans via machine learning with optimized regulation strength and feature quantity.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Mar 15, 2025
PURPOSE: This study aims to investigate estimation of patient-specific organ doses from CT scans via radiomics feature-based SVR models with training parameter optimization, and maximize SVR models' predictive accuracy and robustness via fine-tuning ...
Humans Machine Learning Tomography, X-Ray Computed Abdomen Monte Carlo Method Radiation Dosage Head Radiography, Abdominal
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Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography.

Academic radiology Mar 12, 2025
BACKGROUND: Low-dose chest CT (LDCT) is commonly employed for the early screening of lung cancer. However, it has rarely been utilized in the assessment of volumetric bone mineral density (vBMD) and the diagnosis of osteoporosis (OP).
Sensitivity and Specificity Male Middle Aged Aged Humans Lumbar Vertebrae Adult Bone Density Feasibility Studies Tomography, X-Ray Computed Radiation Dosage Osteoporosis Female Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Low-dose CT reconstruction using cross-domain deep learning with domain transfer module.

Physics in medicine and biology Mar 11, 2025
. X-ray computed tomography employing low-dose x-ray source is actively researched to reduce radiation exposure. However, the reduced photon count in low-dose x-ray sources leads to severe noise artifacts in analytic reconstruction methods like filte...
Deep Learning Image Processing, Computer-Assisted Radiation Dosage Humans Tomography, X-Ray Computed
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CDAF-Net: A Contextual Contrast Detail Attention Feature Fusion Network for Low-Dose CT Denoising.

IEEE journal of biomedical and health informatics Mar 6, 2025
Low-dose computed tomography (LDCT) is a specialized CT scan with a lower radiation dose than normal-dose CT. However, the reduced radiation dose can introduce noise and artifacts, affecting diagnostic accuracy. To enhance the LDCT image quality, we ...
Neural Networks, Computer Algorithms Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Swine Tomography, X-Ray Computed Radiation Dosage Animals
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KBA-PDNet: A primal-dual unrolling network with kernel basis attention for low-dose CT reconstruction.

Journal of X-ray science and technology Mar 3, 2025
Computed tomography (CT) image reconstruction is faced with challenge of balancing image quality and radiation dose. Recent unrolled optimization methods address low-dose CT image quality issues using convolutional neural networks or self-attention m...
Phantoms, Imaging Image Processing, Computer-Assisted Radiation Dosage Humans Algorithms Neural Networks, Computer Tomography, X-Ray Computed
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Radiotherapy dose prediction using off-the-shelf segmentation networks: A feasibility study with GammaPod planning.

Medical physics Feb 28, 2025
BACKGROUND: Radiotherapy requires precise, patient-specific treatment planning to achieve high-quality dose distributions that improve patient outcomes. Traditional manual planning is time-consuming and clinically impractical for performing necessary...
Radiation Dosage Humans Feasibility Studies Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Neural Networks, Computer
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Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis.

Journal of medical Internet research Feb 27, 2025
BACKGROUND: Artificial intelligence (AI) presents a promising approach to balancing high image quality with reduced radiation exposure in computed tomography (CT) imaging.
Radiation Protection Tomography, X-Ray Computed Humans Radiation Dosage Artificial Intelligence
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