AIMC Topic: Scattering, Radiation

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A deep-learning-based scatter correction with water equivalent path length map for digital radiography.

Radiological physics and technology May 2, 2024
We proposed a new deep learning (DL) model for accurate scatter correction in digital radiography. The proposed network featured a pixel-wise water equivalent path length (WEPL) map of subjects with diverse sizes and 3D inner structures. The proposed...
Deep Learning Water Imaging, Three-Dimensional Algorithms Tomography, X-Ray Computed Scattering, Radiation Phantoms, Imaging Radiographic Image Enhancement Humans Image Processing, Computer-Assisted Signal-To-Noise Ratio Monte Carlo Method
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Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT.

IEEE transactions on medical imaging Oct 2, 2023
Accurate scatter estimation is important in quantitative SPECT for improving image contrast and accuracy. With a large number of photon histories, Monte-Carlo (MC) simulation can yield accurate scatter estimation, but is computationally expensive. Re...
Neural Networks, Computer Monte Carlo Method Humans Computer Simulation Scattering, Radiation Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Phantoms, Imaging Torso
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PET scatter estimation using deep learning U-Net architecture.

Physics in medicine and biology Mar 10, 2023
Positron emission tomography (PET) image reconstruction needs to be corrected for scatter in order to produce quantitatively accurate images. Scatter correction is traditionally achieved by incorporating an estimated scatter sinogram into the forward...
Humans Image Processing, Computer-Assisted Positron-Emission Tomography Scattering, Radiation Neural Networks, Computer Algorithms Deep Learning Phantoms, Imaging
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Image-based scatter correction for cone-beam CT using flip swin transformer U-shape network.

Medical physics Feb 14, 2023
BACKGROUND: Cone beam computed tomography (CBCT) plays an increasingly important role in image-guided radiation therapy. However, the image quality of CBCT is severely degraded by excessive scatter contamination, especially in the abdominal region, h...
Scattering, Radiation Phantoms, Imaging Algorithms Cone-Beam Computed Tomography Neural Networks, Computer
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Neural network-based optimization of sub-diffuse reflectance spectroscopy for improved parameter prediction and efficient data collection.

Journal of biophotonics Feb 11, 2023
In this study, a general and systematical investigation of sub-diffuse reflectance spectroscopy is implemented. A Gegenbauer-kernel phase function-based Monte Carlo is adopted to describe photon transport more efficiently. To improve the computationa...
Neural Networks, Computer Algorithms Computer Simulation Spectrum Analysis Scattering, Radiation
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Deep learning for x-ray scatter correction in dedicated breast CT.

Medical physics Jan 7, 2023
BACKGROUND: Accurate correction of x-ray scatter in dedicated breast computed tomography (bCT) imaging may result in improved visual interpretation and is crucial to achieve quantitative accuracy during image reconstruction and analysis.
Scattering, Radiation Phantoms, Imaging X-Rays Image Processing, Computer-Assisted Breast Humans Algorithms Computer Simulation Tomography, X-Ray Computed Deep Learning Cone-Beam Computed Tomography
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Artificial Intelligence-Based Assistance System for Visual Inspection of X-ray Scatter Grids.

Sensors (Basel, Switzerland) Jan 21, 2022
Convolutional neural network (CNN)-based approaches have recently led to major performance steps in visual recognition tasks. However, only a few industrial applications are described in the literature. In this paper, an object detection application ...
Cone-Beam Computed Tomography Scattering, Radiation Neural Networks, Computer X-Rays Artificial Intelligence
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A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning.

Scientific reports Dec 20, 2021
Stroke poses an immense public health burden and remains among the primary causes of death and disability worldwide. Emergent therapy is often precluded by late or indeterminate times of onset before initial clinical presentation. Rapid, mobile, safe...
Brain Microwaves ROC Curve Computer Simulation Stochastic Processes Humans Diagnosis, Computer-Assisted Normal Distribution Area Under Curve Reproducibility of Results Deep Learning Scattering, Radiation Neural Networks, Computer Electromagnetic Fields Head Hemorrhagic Stroke Algorithms
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Deep learning-based forward and cross-scatter correction in dual-source CT.

Medical physics Aug 13, 2021
PURPOSE: Dual-source computed tomography (DSCT) uses two source-detector pairs offset by about 90°. In addition to the well-known forward scatter, a special issue in DSCT is cross-scattered radiation from X-ray tube A detected in the detector of syst...
Artifacts Scattering, Radiation Phantoms, Imaging Cone-Beam Computed Tomography Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning
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Artificial Intelligence-Based Data Corrections for Attenuation and Scatter in Position Emission Tomography and Single-Photon Emission Computed Tomography.

PET clinics Aug 5, 2021
Recent developments in artificial intelligence (AI) technology have enabled new developments that can improve attenuation and scatter correction in PET and single-photon emission computed tomography (SPECT). These technologies will enable the use of ...
Scattering, Radiation Phantoms, Imaging Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Magnetic Resonance Imaging Positron-Emission Tomography Humans Artificial Intelligence
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