AIMC Topic: Radiography, Dual-Energy Scanned Projection

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Performance evaluation of deep learning image reconstruction algorithm for dual-energy spectral CT imaging: A phantom study.

Journal of X-ray science and technology Jan 1, 2024
OBJECTIVES: To evaluate the performance of deep learning image reconstruction (DLIR) algorithm in dual-energy spectral CT (DEsCT) as a function of radiation dose and image energy level, in comparison with filtered-back-projection (FBP) and adaptive s...
Humans Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Phantoms, Imaging Radiography, Dual-Energy Scanned Projection
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Multi-material decomposition of spectral CT images via Fully Convolutional DenseNets.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Spectral computed tomography (CT) has the capability to resolve the energy levels of incident photons, which has the potential to distinguish different material compositions. Although material decomposition methods based on x-ray attenuat...
Tomography, X-Ray Computed Animals Deep Learning Image Processing, Computer-Assisted Mice Calibration Signal-To-Noise Ratio Photons Radiography, Dual-Energy Scanned Projection
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