AIMC Topic: Signal-To-Noise Ratio

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Reconstructing and analyzing the invariances of low-dose CT image denoising networks.

Medical physics Sep 30, 2024
BACKGROUND: Deep learning-based methods led to significant advancements in many areas of medical imaging, most of which are concerned with the reduction of artifacts caused by motion, scatter, or noise. However, with most neural networks being black ...
Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Radiation Dosage Humans Neural Networks, Computer Tomography, X-Ray Computed
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A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging.

Medical image analysis Sep 27, 2024
Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive imaging technique for studying metabolism and has become a crucial tool for understanding neurological diseases, cancers and diabetes. High spatial resolution MRSI is needed to charact...
Brain Neoplasms Magnetic Resonance Imaging Humans Deep Learning Signal-To-Noise Ratio Algorithms Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy Brain
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Advances in spatial resolution and radiation dose reduction using super-resolution deep learning-based reconstruction for abdominal computed tomography: A phantom study.

Academic radiology Sep 20, 2024
RATIONALE AND OBJECTIVES: This study evaluated the performance of super-resolution deep learning-based reconstruction (SR-DLR) and compared with it that of hybrid iterative reconstruction (HIR) and normal-resolution DLR (NR-DLR) for enhancing image q...
Humans Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Abdominal Signal-To-Noise Ratio Phantoms, Imaging
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Benchmarking deep learning-based low-dose CT image denoising algorithms.

Medical physics Sep 17, 2024
BACKGROUND: Long-lasting efforts have been made to reduce radiation dose and thus the potential radiation risk to the patient for computed tomography (CT) acquisitions without severe deterioration of image quality. To this end, various techniques hav...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Benchmarking Radiation Dosage Humans Signal-To-Noise Ratio Algorithms
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TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 16, 2024
Two-photon high-speed fluorescence calcium imaging stands as a mainstream technique in neuroscience for capturing neural activities with high spatiotemporal resolution. However, challenges arise from the inherent tradeoff between acquisition speed an...
Signal-To-Noise Ratio Purkinje Cells Imaging, Three-Dimensional Mice Calcium Algorithms Animals Deep Learning
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Clinical feasibility of deep learning-accelerated single-shot turbo spin echo sequence with enhanced denoising for pancreas MRI at 3 Tesla.

European journal of radiology Sep 15, 2024
PURPOSE: To assess the feasibility of the single-shot turbo spin echo sequence using deep learning-based reconstruction (DLR) (HASTE) with enhanced denoising for pancreas MRI.
Signal-To-Noise Ratio Pancreatic Cyst Humans Image Interpretation, Computer-Assisted Retrospective Studies Magnetic Resonance Imaging Pancreas Pancreatic Neoplasms Male Image Enhancement Feasibility Studies Middle Aged Female Deep Learning Aged Adult
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Accelerated CEST imaging through deep learning quantification from reduced frequency offsets.

Magnetic resonance in medicine Sep 13, 2024
PURPOSE: To shorten CEST acquisition time by leveraging Z-spectrum undersampling combined with deep learning for CEST map construction from undersampled Z-spectra.
Brain Neoplasms Male Deep Learning Retrospective Studies Female Adult Signal-To-Noise Ratio Image Processing, Computer-Assisted Magnetic Resonance Imaging Glioblastoma Algorithms Humans Prospective Studies Brain
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A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention.

Journal of imaging informatics in medicine Sep 11, 2024
Deep learning-based denoising of low-dose medical CT images has received great attention both from academic researchers and physicians in recent years, and has shown important application value in clinical practice. In this work, a novel two-branch a...
Signal-To-Noise Ratio Humans Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiation Dosage
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Linear symmetric self-selecting 14-bit kinetic molecular memristors.

Nature Sep 11, 2024
Artificial Intelligence (AI) is the domain of large resource-intensive data centres that limit access to a small community of developers. Neuromorphic hardware promises greatly improved space and energy efficiency for AI but is presently only capable...
Neural Networks, Computer Artificial Intelligence Signal Processing, Computer-Assisted Signal-To-Noise Ratio Kinetics Thermodynamics Ligands Fourier Analysis
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Efficacy of compressed sensing and deep learning reconstruction for adult female pelvic MRI at 1.5 T.

European radiology experimental Sep 10, 2024
BACKGROUND: We aimed to determine the capabilities of compressed sensing (CS) and deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) for improving image quality while reducing examination time on female pelvic 1.5-T m...
Aged Aged, 80 and over Young Adult Humans Female Magnetic Resonance Imaging Pelvis Signal-To-Noise Ratio Adult Middle Aged Deep Learning
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