AIMC Topic: Radiation Dosage

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Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging.

Journal of synchrotron radiation Apr 1, 2025
In bone-imaging research, in situ synchrotron radiation micro-computed tomography (SRµCT) mechanical tests are used to investigate the mechanical properties of bone in relation to its microstructure. Low-dose computed tomography (CT) is used to prese...
Animals Deep Learning Image Processing, Computer-Assisted Radiation Dosage Bone and Bones X-Ray Microtomography Synchrotrons
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Proton dose calculation with transformer: Transforming spot map to dose.

Medical physics Mar 29, 2025
BACKGROUND: Conventional proton dose calculation methods are either time- and resource-intensive, like Monte Carlo (MC) simulations, or they sacrifice accuracy, as seen with analytical methods. This trade-off between computational efficiency and accu...
Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Deep Learning Prostatic Neoplasms Radiometry Radiosurgery Monte Carlo Method Proton Therapy Humans Male
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Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations.

Physics in medicine and biology Mar 27, 2025
To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-based dose prediction accuracy in proton therapy, with a focus on scenarios involving limited or highly heterogeneous datasets.In this study, 541 prost...
Radiotherapy Dosage Humans Proton Therapy Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiation Dosage Male Deep Learning Head and Neck Neoplasms
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Preliminary phantom study of four-dimensional computed tomographic angiography for renal artery mapping: Low-tube voltage and low-contrast volume imaging with deep learning-based reconstruction.

Radiography (London, England : 1995) Mar 26, 2025
INTRODUCTION: A hybrid angio-CT system with 320-row detectors and deep learning-based reconstruction (DLR), provides additional imaging via 4D-CT angiography (CTA), potentially shortening procedure time and reducing DSA acquisitions, contrast media, ...
Renal Artery Four-Dimensional Computed Tomography Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Radiation Dosage Signal-To-Noise Ratio Phantoms, Imaging Computed Tomography Angiography Humans Deep Learning Contrast Media
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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...
Humans Neural Networks, Computer Artifacts Radiation Dosage Phantoms, Imaging Deep Learning Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed 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 Humans Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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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...
Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed
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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 ...
Radiation Dosage Tomography, X-Ray Computed Humans Abdomen Monte Carlo Method Machine Learning 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).
Adult Sensitivity and Specificity Male Tomography, X-Ray Computed Female Aged Lumbar Vertebrae Humans Feasibility Studies Bone Density Radiation Dosage Middle Aged Osteoporosis 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...
Image Processing, Computer-Assisted Radiation Dosage Humans Tomography, X-Ray Computed Deep Learning
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