AIMC Topic: Signal-To-Noise Ratio

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SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.

NeuroImage Mar 1, 2022
Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, the noise in the diffusion-weighted images (DWIs) decreases the acc...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Diffusion Tensor Imaging Humans Neural Networks, Computer Deep Learning
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Deep Learning-Based Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Ischemic Penumbra in Early Cerebral Infarction.

Contrast media & molecular imaging Feb 28, 2022
The prefiltered image was imported into the local higher-order singular value decomposition (HOSVD) denoising algorithm (GL-HOSVD)-optimized diffusion-weighted imaging (DWI) image, which was compared with the deviation correction nonlocal mean (NL me...
Brain Ischemia Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Humans Artifacts Stroke Signal-To-Noise Ratio Deep Learning Cerebral Infarction
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5G Massive MIMO Signal Detection Algorithm Based on Deep Learning.

Computational intelligence and neuroscience Feb 27, 2022
Aiming at the problems of poor signal detection effect caused by many interference factors in large-scale MIMO technology scene, this paper proposes a 5G massive MIMO signal detection algorithm based on deep learning. Firstly, the MIMO system model b...
Technology Deep Learning Signal-To-Noise Ratio Neural Networks, Computer Algorithms
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An EEG Classification-Based Method for Single-Trial N170 Latency Detection and Estimation.

Computational and mathematical methods in medicine Feb 18, 2022
Event-related potentials (ERPs) can reflect the high-level thinking activities of the brain. In ERP analysis, the superposition and averaging method is often used to estimate ERPs. However, the single-trial ERP estimation can provide researchers with...
Linear Models Signal-To-Noise Ratio Evoked Potentials Adult Humans Models, Neurological Male Electroencephalography Neural Networks, Computer Computational Biology Signal Processing, Computer-Assisted Brain Computer Simulation Logistic Models Female Support Vector Machine Young Adult
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A back-projection-and-filtering-like (BPF-like) reconstruction method with the deep learning filtration from listmode data in TOF-PET.

Medical physics Feb 17, 2022
PURPOSE: The time-of-flight (TOF) information improves signal-to-noise ratio (SNR) for positron emission tomography (PET) imaging. Existing analytical algorithms for TOF PET usually follow a filtered back-projection process on reconstructing images f...
Positron-Emission Tomography Signal-To-Noise Ratio Phantoms, Imaging Algorithms Deep Learning Image Processing, Computer-Assisted
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Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method.

European radiology Feb 15, 2022
OBJECTIVES: This study aimed to evaluate the efficacy of a combined wavelet and deep-learning reconstruction (DLR) method for under-sampled pituitary MRI.
Humans Deep Learning Algorithms Retrospective Studies Magnetic Resonance Imaging Signal-To-Noise Ratio
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Denoising of pediatric low dose abdominal CT using deep learning based algorithm.

PloS one Jan 21, 2022
OBJECTIVES: To evaluate standard dose-like computed tomography (CT) images generated by a deep learning method, trained using unpaired low-dose CT (LDCT) and standard-dose CT (SDCT) images.
Radiation Dosage Signal-To-Noise Ratio Radiography, Abdominal Male Deep Learning Child, Preschool Child Image Processing, Computer-Assisted Abdomen Algorithms Tomography, X-Ray Computed Female Humans
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Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches.

Computational and mathematical methods in medicine Jan 20, 2022
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health. It occurs abruptly without any symptoms and thus increases the mortality rate of humans. Almost 1% of world's population suffers from epileptic seizures....
Humans Signal-To-Noise Ratio Neural Networks, Computer Machine Learning Support Vector Machine Bayes Theorem Electroencephalography Deep Learning Epilepsy Algorithms Computational Biology Seizures Databases, Factual Logistic Models Signal Processing, Computer-Assisted Diagnosis, Computer-Assisted
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Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.

Medical physics Jan 19, 2022
PURPOSE: Deep learning (DL) is rapidly finding applications in low-dose CT image denoising. While having the potential to improve the image quality (IQ) over the filtered back projection method (FBP) and produce images quickly, performance generaliza...
Humans Neural Networks, Computer Algorithms Radiation Dosage Signal-To-Noise Ratio Phantoms, Imaging Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Edge-enhancement densenet for X-ray fluoroscopy image denoising in cardiac electrophysiology procedures.

Medical physics Jan 18, 2022
PURPOSE: Reducing X-ray dose increases safety in cardiac electrophysiology procedures but also increases image noise and artifacts which may affect the discernibility of devices and anatomical cues. Previous denoising methods based on convolutional n...
Signal-To-Noise Ratio Humans Neural Networks, Computer X-Rays Electrophysiologic Techniques, Cardiac Fluoroscopy
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