AI Medical Compendium Topic:
Signal-To-Noise Ratio

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MRI denoising using progressively distribution-based neural network.

Magnetic resonance imaging Apr 27, 2020
Magnetic Resonance (MR) images often suffer from noise pollution during image acquisition and transmission, which limits the accuracy of quantitative measurements from the data. Noise in magnitude MR images is usually governed by Rician distribution,...
Humans Magnetic Resonance Imaging Signal-To-Noise Ratio Neural Networks, Computer Normal Distribution Brain Image Processing, Computer-Assisted
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A hybrid convolutional neural network for super-resolution reconstruction of MR images.

Medical physics Apr 27, 2020
PURPOSE: Spatial resolution is an important parameter for magnetic resonance imaging (MRI). High-resolution MR images provide detailed information and benefit subsequent image analysis. However, higher resolution MR images come at the expense of long...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Signal-To-Noise Ratio Neural Networks, Computer Algorithms
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High quality proton portal imaging using deep learning for proton radiation therapy: a phantom study.

Biomedical physics & engineering express Apr 27, 2020
Purpose; For shoot-through proton treatments, like FLASH radiotherapy, there will be protons exiting the patient which can be used for proton portal imaging (PPI), revealing valuable information for the validation of tumor location in the beam's-eye-...
Radiotherapy Scattering, Radiation Phantoms, Imaging Algorithms Proton Therapy Computer Simulation Protons Reproducibility of Results Image Processing, Computer-Assisted Humans Nonlinear Dynamics Neural Networks, Computer Signal-To-Noise Ratio Neoplasms Deep Learning
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Single patient convolutional neural networks for real-time MR reconstruction: coherent low-resolution versus incoherent undersampling.

Physics in medicine and biology Apr 23, 2020
Accelerated MRI involves undersampling k-space, creating unwanted artifacts when reconstructing the data. While the strategy of incoherent k-space acquisition is proven for techniques such as compressed sensing, it may not be optimal for all techniqu...
Respiration Signal-To-Noise Ratio Time Factors Image Processing, Computer-Assisted Lung Neoplasms Carcinoma, Non-Small-Cell Lung Magnetic Resonance Imaging Artifacts Humans Neural Networks, Computer Retrospective Studies
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Electret-Based Organic Synaptic Transistor for Neuromorphic Computing.

ACS applied materials & interfaces Mar 18, 2020
Neuromorphic computing inspired by the neural systems in human brain will overcome the issue of independent information processing and storage. An artificial synaptic device as a basic unit of a neuromorphic computing system can perform signal proces...
Transistors, Electronic Signal-To-Noise Ratio Polyvinyls Humans Neural Networks, Computer Excitatory Postsynaptic Potentials Synapses
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Female Temperature Reproducibility of Results Humans Artificial Intelligence Algorithms Thermography Stochastic Processes Normal Distribution Respiration Signal-To-Noise Ratio Infrared Rays Respiratory Rate Support Vector Machine Monitoring, Physiologic Sensitivity and Specificity Models, Statistical Male Young Adult Equipment Design Adolescent Adult Signal Processing, Computer-Assisted Body Temperature
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A convolutional neural network-based model observer for breast CT images.

Medical physics Feb 29, 2020
PURPOSE: In this paper, we propose a convolutional neural network (CNN)-based efficient model observer for breast computed tomography (CT) images.
Tomography, X-Ray Computed Breast Image Processing, Computer-Assisted Neural Networks, Computer Signal-To-Noise Ratio Least-Squares Analysis Normal Distribution
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Need for Cross-Validation of Single Particle Cryo-EM.

Journal of chemical information and modeling Feb 26, 2020
Cross-validation is used to determine the validity of a model on unseen data by assessing if the model is overfitted to noise. It is widely used in many fields, from artificial intelligence to structural biology in X-ray crystallography and nuclear m...
Crystallography, X-Ray Artificial Intelligence Signal-To-Noise Ratio Cryoelectron Microscopy
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Multi-Contrast Super-Resolution MRI Through a Progressive Network.

IEEE transactions on medical imaging Feb 18, 2020
Magnetic resonance imaging (MRI) is widely used for screening, diagnosis, image-guided therapy, and scientific research. A significant advantage of MRI over other imaging modalities such as computed tomography (CT) and nuclear imaging is that it clea...
Tomography, X-Ray Computed Magnetic Resonance Imaging Signal-To-Noise Ratio Neural Networks, Computer
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An Integrated Robotic System for MRI-Guided Neuroablation: Preclinical Evaluation.

IEEE transactions on bio-medical engineering Feb 17, 2020
OBJECTIVE: Treatment of brain tumors requires high precision in order to ensure sufficient treatment while minimizing damage to surrounding healthy tissue. Ablation of such tumors using needle-based therapeutic ultrasound (NBTU) under real-time magne...
Signal-To-Noise Ratio Phantoms, Imaging Humans Animals Swine Magnetic Resonance Imaging Robotics Robotic Surgical Procedures
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