AIMC Topic: Signal-To-Noise Ratio

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CT image denoising methods for image quality improvement and radiation dose reduction.

Journal of applied clinical medical physics Jan 19, 2024
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have become a significant public issue. To address the need for radiation dose reduction, CT denoising methods have been widely investigated and applied in lo...
Signal-To-Noise Ratio Drug Tapering Quality Improvement Radiation Dosage Artificial Intelligence Algorithms Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans
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The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization.

IEEE transactions on biomedical circuits and systems Jan 10, 2024
For depression diagnosis, traditional methods such as interviews and clinical scales have been widely leveraged in the past few decades, but they are subjective, time-consuming, and labor-consuming. With the development of affective computing and Art...
Signal Processing, Computer-Assisted Signal-To-Noise Ratio Depression Electroencephalography Artificial Intelligence Algorithms Humans
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Diagnostic evaluation of deep learning accelerated lumbar spine MRI.

The neuroradiology journal Jan 9, 2024
BACKGROUND AND PURPOSE: Deep learning (DL) accelerated MR techniques have emerged as a promising approach to accelerate routine MR exams. While prior studies explored DL acceleration for specific lumbar MRI sequences, a gap remains in comprehending t...
Humans Aged Adult Male Prospective Studies Female Magnetic Resonance Imaging Signal-To-Noise Ratio Lumbar Vertebrae Spinal Diseases Spinal Stenosis Middle Aged Deep Learning
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Data-driven coordinated attention deep learning for high-fidelity brain imaging denoising and inpainting.

Journal of biophotonics Jan 2, 2024
Deep learning offers promise in enhancing low-quality images by addressing weak fluorescence signals, especially in deep in vivo mouse brain imaging. However, current methods struggle with photon scarcity and noise within in vivo deep mouse brains, a...
Mice Neuroimaging Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Animals Brain
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Artificial Intelligence for PET and SPECT Image Enhancement.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jan 2, 2024
Nuclear medicine imaging modalities such as PET and SPECT are confounded by high noise levels and low spatial resolution, necessitating postreconstruction image enhancement to improve their quality and quantitative accuracy. Artificial intelligence (...
Positron-Emission Tomography Signal-To-Noise Ratio Tomography, Emission-Computed, Single-Photon Artificial Intelligence Image Processing, Computer-Assisted
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Exploring the impact of super-resolution deep learning on MR angiography image quality.

Neuroradiology Dec 27, 2023
PURPOSE: The aim of this study is to assess the effect of super-resolution deep learning-based reconstruction (SR-DLR), which uses k-space properties, on image quality of intracranial time-of-flight (TOF) magnetic resonance angiography (MRA) at 3 T.
Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Signal-To-Noise Ratio Magnetic Resonance Angiography Magnetic Resonance Imaging Retrospective Studies
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Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms.

Journal of biomedical optics Dec 22, 2023
SIGNIFICANCE: Label-free, two-photon excited fluorescence (TPEF) imaging captures morphological and functional metabolic tissue changes and enables enhanced understanding of numerous diseases. However, noise and other artifacts present in these image...
Diagnostic Imaging Humans Signal-To-Noise Ratio Algorithms Wavelet Analysis Deep Learning Image Processing, Computer-Assisted
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SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.

International journal of computer assisted radiology and surgery Dec 21, 2023
PURPOSE: We propose a large-factor super-resolution (SR) method for performing SR on registered medical image datasets. Conventional SR approaches use low-resolution (LR) and high-resolution (HR) image pairs to train a deep convolutional neural netwo...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Neural Networks, Computer
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Pediatric evaluations for deep learning CT denoising.

Medical physics Dec 21, 2023
BACKGROUND: Deep learning (DL) CT denoising models have the potential to improve image quality for lower radiation dose exams. These models are generally trained with large quantities of adult patient image data. However, CT, and increasingly DL deno...
Adolescent Child Noise Radiation Dosage Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Algorithms Infant, Newborn Phantoms, Imaging Adult Deep Learning Tomography, X-Ray Computed
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Learnable PM diffusion coefficients and reformative coordinate attention network for low dose CT denoising.

Physics in medicine and biology Dec 11, 2023
Various deep learning methods have recently been used for low dose CT (LDCT) denoising. Aggressive denoising may destroy the edge and fine anatomical structures of CT images. Therefore a key issue in LDCT denoising tasks is the difficulty of balancin...
Signal-To-Noise Ratio Anisotropy Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted
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