AIMC Topic: Radiation Dosage

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Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising algorithms.

Medical engineering & physics Sep 24, 2022
Conventional noise reduction algorithms have been used in image processing for a very long time, but recently, deep learning-based algorithms have been shown to significantly reduce the noise in CT images. In this paper, a comparison of CT noise redu...
Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed
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Detectability of Small Low-Attenuation Lesions With Deep Learning CT Image Reconstruction: A 24-Reader Phantom Study.

AJR. American journal of roentgenology Sep 21, 2022
Iterative reconstruction (IR) techniques are susceptible to contrast-dependent spatial resolution, limiting overall radiation dose reduction potential. Deep learning image reconstruction (DLIR) may mitigate this limitation. The purpose of our study...
Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in dual-energy CT of the abdomen: a phantom and clinical study.

European radiology Sep 17, 2022
OBJECTIVES: To investigate the effect of deep learning image reconstruction (DLIR) on the accuracy of iodine quantification and image quality of dual-energy CT (DECT) compared to that of other reconstruction algorithms in a phantom experiment and an ...
Humans Algorithms Male Middle Aged Deep Learning Retrospective Studies Tomography, X-Ray Computed Aged Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Iodine Image Processing, Computer-Assisted
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Comparative assessment of noise properties for two deep learning CT image reconstruction techniques and filtered back projection.

Medical physics Sep 12, 2022
BACKGROUND: Two deep learning image reconstruction (DLIR) techniques from two different computed tomography (CT) vendors have recently been introduced into clinical practice.
Algorithms Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Iodine Radiation Dosage Water Phantoms, Imaging Image Processing, Computer-Assisted
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Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study.

Diagnostic and interventional imaging Sep 11, 2022
PURPOSE: The purpose of this study was to assess the impact of the new artificial intelligence deep-learning reconstruction (AI-DLR) algorithm on image quality and radiation dose compared with iterative reconstruction algorithm in lumbar spine comput...
Radiation Dosage Humans Tomography, X-Ray Computed Phantoms, Imaging Artificial Intelligence Deep Learning Algorithms Radiographic Image Interpretation, Computer-Assisted
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Wavelet subband-specific learning for low-dose computed tomography denoising.

PloS one Sep 9, 2022
Deep neural networks have shown great improvements in low-dose computed tomography (CT) denoising. Early algorithms were primarily optimized to obtain an accurate image with low distortion between the denoised image and reference full-dose image at t...
Signal-To-Noise Ratio Tomography, X-Ray Computed Wavelet Analysis Image Processing, Computer-Assisted Neural Networks, Computer Radiation Dosage Algorithms
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Deep learning-based virtual noncalcium imaging in multiple myeloma using dual-energy CT.

Medical physics Aug 28, 2022
BACKGROUND: Dual-energy CT with virtual noncalcium (VNCa) images allows the evaluation of focal intramedullary bone marrow involvement in patients with multiple myeloma. However, current commercial VNCa techniques suffer from excessive image noise an...
Radiation Dosage Tomography, X-Ray Computed Phantoms, Imaging Deep Learning Humans Multiple Myeloma Artificial Intelligence
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Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction.

Acta radiologica (Stockholm, Sweden : 1987) Aug 17, 2022
BACKGROUND: The demand for homogeneous and higher vascular contrast enhancement is critical to provide an appropriate interpretation of abnormal vascular findings in coronary computed tomography angiography (CTA).
Tomography, X-Ray Computed Humans Computed Tomography Angiography Deep Learning Algorithms Iohexol Coronary Angiography Contrast Media Prospective Studies Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Coronary Vessels
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Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study.

Frontiers in endocrinology Aug 11, 2022
BACKGROUND AND PURPOSE: To investigate the image quality and accurate bone mineral density (BMD) on quantitative CT (QCT) for osteoporosis screening by deep-learning image reconstruction (DLIR) based on a multi-phantom and patient study.
Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Female Male Radiation Dosage Humans Bone Density Osteoporosis Tomography, X-Ray Computed
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3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis.

IEEE transactions on medical imaging Aug 1, 2022
Potential radioactive hazards in full-dose positron emission tomography (PET) imaging remain a concern, whereas the quality of low-dose images is never desirable for clinical use. So it is of great interest to translate low-dose PET images into full-...
Image Processing, Computer-Assisted Radiation Injuries Neural Networks, Computer Positron-Emission Tomography Deep Learning Radiation Dosage
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