AIMC Topic: Radiation Dosage

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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 ...
Algorithms Tomography, X-Ray Computed Animals Humans Neural Networks, Computer Radiation Dosage Swine Signal-To-Noise Ratio Image Processing, Computer-Assisted
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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...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Radiation Dosage Phantoms, Imaging
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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...
Radiotherapy Planning, Computer-Assisted Humans Radiation Dosage Neural Networks, Computer Radiotherapy Dosage Feasibility Studies
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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.
Tomography, X-Ray Computed Humans Radiation Dosage Artificial Intelligence Radiation Protection
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The feasibility and cost-effectiveness of implementing mobile low-dose computed tomography with an AI-based diagnostic system in underserved populations.

BMC cancer Feb 25, 2025
BACKGROUND: Low-dose computed tomography (LDCT) significantly increases early detection rates of lung cancer and reduces lung cancer-related mortality by 20%. However, many significant screening barriers remain. This study conduct an initial feasibil...
Cost-Benefit Analysis Radiation Dosage Early Detection of Cancer Tomography, X-Ray Computed Feasibility Studies Female Aged Humans Artificial Intelligence Vulnerable Populations Adult China Male Lung Neoplasms Middle Aged
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Robust and generalizable artificial intelligence for multi-organ segmentation in ultra-low-dose total-body PET imaging: a multi-center and cross-tracer study.

European journal of nuclear medicine and molecular imaging Feb 19, 2025
PURPOSE: Positron Emission Tomography (PET) is a powerful molecular imaging tool that visualizes radiotracer distribution to reveal physiological processes. Recent advances in total-body PET have enabled low-dose, CT-free imaging; however, accurate o...
Retrospective Studies Female Male Humans Artificial Intelligence Deep Learning Radiation Dosage Image Processing, Computer-Assisted Whole Body Imaging Positron-Emission Tomography Radioactive Tracers
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Dose prediction via deep learning to enhance treatment planning of lung radiotherapy including simultaneous integrated boost techniques.

Medical physics Feb 18, 2025
BACKGROUND: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses includin...
Retrospective Studies Humans Radiotherapy Dosage Organs at Risk Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Lung Neoplasms Radiation Dosage
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Multi-task learning for automated contouring and dose prediction in radiotherapy.

Physics in medicine and biology Feb 18, 2025
. Deep learning (DL)-based automated contouring and treatment planning has been proven to improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy treatment planning process has the automated contouring and treatment pl...
Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Automation Radiation Dosage Deep Learning Humans Radiotherapy Dosage Image Processing, Computer-Assisted Male Head and Neck Neoplasms
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MLAR-UNet: LDCT image denoising based on U-Net with multiple lightweight attention-based modules and residual reinforcement.

Physics in medicine and biology Feb 13, 2025
Computed tomography (CT) is a crucial medical imaging technique which uses x-ray radiation to identify cancer tissues. Since radiation poses a significant health risk, low dose acquisition procedures need to be adopted. However, low-dose CT (LDCT) ca...
Image Processing, Computer-Assisted Artifacts Radiation Dosage Tomography, X-Ray Computed Deep Learning Signal-To-Noise Ratio Humans
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Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?

Journal of endourology Feb 11, 2025
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging because of image noise. The purpose of this study was to compare ureteral stone detection and image quality of low-dose and conventional CT scans with and...
Metals Image Processing, Computer-Assisted Artifacts Radiation Dosage Hip Prosthesis Ureteral Calculi Humans Tomography, X-Ray Computed Deep Learning
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