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Influence of Pitch on Surface Dose Distribution and Image Noise of Computed Tomography Scans [PDF]
Sensors, 2023 This study evaluated the effect of pitch on 256-slice helical computed tomography (CT) scans. Cylindrical water phantoms (CWP) were measured using axial and helical scans with various pitch values. The surface dose distributions of CWP were measured, and
Kenji Yamada +8 more
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Gamma Radiation Image Noise Prediction Method Based on Statistical Analysis and Random Walk [PDF]
Sensors, 2022 The gamma radiation environment is one of the harshest operating environments for image acquisition systems, and the captured images are heavily noisy. In this paper, we improve the multi-frame difference method for the characteristics of noise and add ...
Dongjie Li +4 more
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A Review of Neural Network-Based Image Noise Processing Methods [PDF]
SensorsThis review explores the current landscape of neural network-based methods for digital image noise processing. Digital cameras have become ubiquitous in fields like forensics and medical diagnostics, and image noise remains a critical factor for ensuring
Anton A. Volkov +9 more
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Noise-attention-based forgery face detection method
网络与信息安全学报, 2023 With the advancement of artificial intelligence and deep neural networks, the ease of image generation and editing has increased significantly.Consequently, the occurrence of malicious tampering and forgery using image generation tools is on the rise ...
Bolin ZHANG, Chuntao ZHU, Qilin YIN, Jingqiao FU, Lingyi LIU, Jiarui LIU, Hongmei LIU, Wei LU
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Optics Express, 2023 A limitation of free-space optical communications is the ease with which the information can be intercepted. This limitation can be overcome by hiding the information within background optical noise. We demonstrate the transfer of images over free-space using a photon-pair source emitting two correlated beams.
Steven Johnson +4 more
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Tomography, 2023 This exploratory retrospective study aims to quantitatively compare the image quality of unenhanced brain computed tomography (CT) reconstructed with an iterative (AIDR-3D) and a deep learning-based (AiCE) reconstruction algorithm.
Andrea Cozzi +7 more
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Efficient Fitting of 3D Tessellations to Curved Polycrystalline Grain Boundaries
Frontiers in Materials, 2021 The curvature of grain boundaries in polycrystalline materials is an important characteristic, since it plays a key role in phenomena like grain growth.
Lukas Petrich +4 more
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Nuclear spin noise imaging [PDF]
Proceedings of the National Academy of Sciences, 2006 NMR images were obtained from the proton spin noise signals of a water-containing phantom, which was placed in the highly tuned, low-noise resonant circuit of a cryogenically cooled NMR probe in the presence of systematically varied magnetic field gradients.
Norbert, Müller, Alexej, Jerschow
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Noise-robustness test for ultrasound breast nodule neural network models as medical devices
Frontiers in Oncology, 2023 BackgroundDeep learning technology has been widely applied to medical image analysis. But due to the limitations of its own imaging principle, ultrasound image has the disadvantages of low resolution and high Speckle Noise density, which not only hinder ...
Jiaxin Jiang +5 more
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Comparing IDREAM as an Iterative Reconstruction Algorithm against In Filtered Back Projection in Computed Tomography [PDF]
Iranian Journal of Medical Physics, 2020 Introduction: Recent studies of Computed Tomography (CT) conducted on patient dose reduction have recommended using an iterative reconstruction algorithm and mA (mili-Ampere) dose modulation.
Eslam Maamoun
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