AIMC Topic: Healthy Volunteers

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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.
Healthy Volunteers Signal-To-Noise Ratio Phantoms, Imaging Brain Female Adult Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Equipment Design Algorithms
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Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T.

Investigative radiology Jul 4, 2024
OBJECTIVES: The aim of this study was to compare the image quality of 7 T turbo spin echo (TSE) knee images acquired with varying factors of parallel-imaging acceleration reconstructed with deep learning (DL)-based and conventional algorithms.
Algorithms Prospective Studies Female Adult Humans Knee Joint Male Healthy Volunteers Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Knee Magnetic Resonance Imaging
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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).
Humans Algorithms Female Adult Image Processing, Computer-Assisted Coronary Angiography Feasibility Studies Motion Male Middle Aged Deep Learning Imaging, Three-Dimensional Signal-To-Noise Ratio Magnetic Resonance Angiography Healthy Volunteers Image Interpretation, Computer-Assisted Coronary Vessels
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Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 3, 2024
Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, the complex experimental setup required to perform the analyses confines use to the l...
Male Female Smartphone Young Adult Humans Walking Achilles Tendon Adult Running Neural Networks, Computer Healthy Volunteers Biomechanical Phenomena Algorithms Video Recording Proof of Concept Study
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Across Sessions and Subjects Domain Adaptation for Building Robust Myoelectric Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 27, 2024
Gesture interaction via surface electromyography (sEMG) signal is a promising approach for advanced human-computer interaction systems. However, improving the performance of the myoelectric interface is challenging due to the domain shift caused by t...
Female Healthy Volunteers Gestures Humans Young Adult User-Computer Interface Neural Networks, Computer Adult Muscle, Skeletal Algorithms Electromyography Male
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Rapid 2D Na MRI of the calf using a denoising convolutional neural network.

Magnetic resonance imaging Apr 19, 2024
PURPOSE: Na MRI can be used to quantify in-vivo tissue sodium concentration (TSC), but the inherently low Na signal leads to long scan times and/or noisy or low-resolution images. Reconstruction algorithms such as compressed sensing (CS) have been pr...
Humans Magnetic Resonance Imaging Muscle, Skeletal Female Neural Networks, Computer Sodium Adult Healthy Volunteers Algorithms Male Signal-To-Noise Ratio Prospective Studies Image Processing, Computer-Assisted Leg Sodium Isotopes
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Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers.

European radiology experimental Apr 15, 2024
BACKGROUND: To investigate the potential of combining compressed sensing (CS) and artificial intelligence (AI), in particular deep learning (DL), for accelerating three-dimensional (3D) magnetic resonance imaging (MRI) sequences of the knee.
Healthy Volunteers Anterior Cruciate Ligament Artificial Intelligence Deep Learning Magnetic Resonance Imaging Humans
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Machine learning-based automated scan prescription of lumbar spine MRI acquisitions.

Magnetic resonance imaging Apr 3, 2024
PURPOSE: High quality scan prescription that optimally covers the area of interest with scan planes aligned to relevant anatomical structures is crucial for error-free radiologic interpretation. The goal of this project was to develop a machine learn...
Lumbar Vertebrae Healthy Volunteers Low Back Pain Machine Learning Software Female Adult Male Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer
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A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors.

Sensors (Basel, Switzerland) Mar 29, 2024
Frameworks for human activity recognition (HAR) can be applied in the clinical environment for monitoring patients' motor and functional abilities either remotely or within a rehabilitation program. Deep Learning (DL) models can be exploited to perfo...
Humans Deep Learning Activities of Daily Living Healthy Volunteers Human Activities Engineering
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Faster acquisition of magnetic resonance imaging sequences of the knee via deep learning reconstruction: a volunteer study.

Clinical radiology Mar 26, 2024
AIM: To evaluate whether deep learning reconstruction (DLR) can accelerate the acquisition of magnetic resonance imaging (MRI) sequences of the knee for clinical use.
Signal-To-Noise Ratio Humans Magnetic Resonance Imaging Female Knee Joint Adult Healthy Volunteers Male Image Interpretation, Computer-Assisted Middle Aged Deep Learning
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