AIMC Topic: Signal-To-Noise Ratio

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Improving diagnostic confidence in low-dose dual-energy CTE with low energy level and deep learning reconstruction.

European journal of radiology Jul 10, 2024
OBJECTIVE: To demonstrate the value of using 50 keV virtual monochromatic images with deep learning image reconstruction (DLIR) in low-dose dual-energy CT enterography (CTE).
Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Prospective Studies Crohn Disease Radiation Dosage Signal-To-Noise Ratio Radiography, Dual-Energy Scanned Projection
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Reconstructing Cancellous Bone From Down-Sampled Optical-Resolution Photoacoustic Microscopy Images With Deep Learning.

Ultrasound in medicine & biology Jul 7, 2024
OBJECTIVE: Bone diseases deteriorate the microstructure of bone tissue. Optical-resolution photoacoustic microscopy (OR-PAM) enables high spatial resolution of imaging bone tissues. However, the spatiotemporal trade-off limits the application of OR-P...
Signal-To-Noise Ratio Photoacoustic Techniques Cancellous Bone Deep Learning Cattle Image Processing, Computer-Assisted Microscopy Animals
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Fast, high-quality, and unshielded 0.2 T low-field mobile MRI using minimal hardware resources.

Magma (New York, N.Y.) Jul 5, 2024
OBJECTIVE: To propose a deep learning-based low-field mobile MRI strategy for fast, high-quality, unshielded imaging using minimal hardware resources.
Equipment Design Healthy Volunteers Signal-To-Noise Ratio Phantoms, Imaging Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Algorithms Brain Female Adult
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Evaluation of 3D T1-weighted spoiled gradient echo MR image quality using artificial intelligence image reconstruction techniques in the pediatric brain.

Neuroradiology Jul 5, 2024
PURPOSE: To assess image quality and diagnostic confidence of 3D T1-weighted spoiled gradient echo (SPGR) MRI using artificial intelligence (AI) reconstruction.
Female Male Adolescent Child, Preschool Humans Artificial Intelligence Prospective Studies Brain Child Brain Diseases Imaging, Three-Dimensional Signal-To-Noise Ratio Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequences.

European radiology Jul 4, 2024
OBJECTIVES: To compare the image quality of deep learning accelerated whole-body (WB) with conventional diffusion sequences.
Humans Female Aged Aged, 80 and over Artifacts Signal-To-Noise Ratio Whole Body Imaging Diffusion Magnetic Resonance Imaging Adult Male Middle Aged Deep Learning
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Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging.

European journal of radiology Jul 3, 2024
OBJECTIVES: This study aims to assess the effectiveness of super-resolution deep-learning-based reconstruction (SR-DLR), which leverages k-space data, on the image quality of lumbar spine magnetic resonance (MR) bone imaging using a 3D multi-echo in-...
Signal-To-Noise Ratio Spinal Diseases Aged, 80 and over Adult Male Middle Aged Deep Learning Imaging, Three-Dimensional Humans Magnetic Resonance Imaging Retrospective Studies Lumbar Vertebrae Female Aged
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Prospective Deployment of Deep Learning Reconstruction Facilitates Highly Accelerated Upper Abdominal MRI.

Academic radiology Jul 2, 2024
RATIONALE AND OBJECTIVES: To compare a conventional T1 volumetric interpolated breath-hold examination (VIBE) with SPectral Attenuated Inversion Recovery (SPAIR) fat saturation and a deep learning (DL)-reconstructed accelerated VIBE sequence with SPA...
Female Aged Image Interpretation, Computer-Assisted Male Signal-To-Noise Ratio Middle Aged Organometallic Compounds Breath Holding Humans Deep Learning Prospective Studies Abdomen Contrast Media Magnetic Resonance Imaging
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Comparison of image quality between Deep learning image reconstruction and Iterative reconstruction technique for CT Brain- a pilot study.

F1000Research Jun 26, 2024
BACKGROUND: Non-contrast Computed Tomography (NCCT) plays a pivotal role in assessing central nervous system disorders and is a crucial diagnostic method. Iterative reconstruction (IR) methods have enhanced image quality (IQ) but may result in a blot...
Adult Male Brain Middle Aged Pilot Projects Humans Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted Algorithms Female Signal-To-Noise Ratio Prospective Studies Aged
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Motion robust coronary MR angiography using zigzag centric ky-kz trajectory and high-resolution deep learning reconstruction.

Magma (New York, N.Y.) Jun 25, 2024
PURPOSE: To develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric k-k k-space trajectory combined with high-resolution deep learning reconstruction (HR-DLR).
Middle Aged Deep Learning Image Interpretation, Computer-Assisted Humans Coronary Angiography Imaging, Three-Dimensional Algorithms Coronary Vessels Image Processing, Computer-Assisted Female Feasibility Studies Signal-To-Noise Ratio Adult Motion Magnetic Resonance Angiography Male Healthy Volunteers
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Binary classification of dead detector elements in flat panel detectors using convolutional neural networks.

Biomedical physics & engineering express Jun 25, 2024
Medical physicists routinely perform quality assurance on digital detection systems, part of which involves the testing of flat panel detectors. Flat panels may degrade over time as an increasing number of individual detector elements begin to malfun...
Equipment Design Signal-To-Noise Ratio Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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