AIMC Topic: Knee

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High-performance rapid MR parameter mapping using model-based deep adversarial learning.

Magnetic resonance imaging Sep 25, 2020
PURPOSE: To develop and evaluate a deep adversarial learning-based image reconstruction approach for rapid and efficient MR parameter mapping.
Time Factors Image Processing, Computer-Assisted Magnetic Resonance Imaging Knee Humans Brain Deep Learning
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Mechanics of walking and running up and downhill: A joint-level perspective to guide design of lower-limb exoskeletons.

PloS one Aug 28, 2020
Lower-limb wearable robotic devices can improve clinical gait and reduce energetic demand in healthy populations. To help enable real-world use, we sought to examine how assistance should be applied in variable gait conditions and suggest an approach...
Ankle Hip Exoskeleton Device Knee Locomotion Gait Analysis Ankle Joint Lower Extremity Muscle, Skeletal Robotics Knee Joint Female Walking Humans Adult Gait Biomechanical Phenomena Running Male Hip Joint
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A review on segmentation of knee articular cartilage: from conventional methods towards deep learning.

Artificial intelligence in medicine May 6, 2020
In this paper, we review the state-of-the-art approaches for knee articular cartilage segmentation from conventional techniques to deep learning (DL) based techniques. Knee articular cartilage segmentation on magnetic resonance (MR) images is of grea...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Knee Joint Cartilage, Articular Algorithms Reproducibility of Results Deep Learning Knee Humans
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Assessment of knee pain from MR imaging using a convolutional Siamese network.

European radiology Feb 13, 2020
OBJECTIVES: It remains difficult to characterize the source of pain in knee joints either using radiographs or magnetic resonance imaging (MRI). We sought to determine if advanced machine learning methods such as deep neural networks could distinguis...
Humans Neural Networks, Computer Severity of Illness Index Deep Learning Magnetic Resonance Imaging Area Under Curve Female Aged Male Middle Aged Osteoarthritis, Knee Knee Synovitis Radiography Knee Joint Arthralgia
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The Impact of ACL Laxity on a Bicondylar Robotic Knee and Implications in Human Joint Biomechanics.

IEEE transactions on bio-medical engineering Feb 5, 2020
OBJECTIVE: Elucidating the role of structural mechanisms in the knee can improve joint surgeries, rehabilitation, and understanding of biped locomotion. Identification of key features, however, is challenging due to limitations in simulation and in-v...
Biomechanical Phenomena Robotics Knee Joint Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Humans Knee
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A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.

Computer methods and programs in biomedicine Jan 9, 2020
BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regression to evaluate the impact of policy changes in public health at a specific time. Objectives of this study were to verify, with an artificial intelli...
Knee Interrupted Time Series Analysis Linear Models Arthroplasty, Replacement, Hip Hip Humans Artificial Intelligence Research Design Incidence Arthritis, Rheumatoid Outcome Assessment, Health Care Arthroplasty, Replacement, Knee
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Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.

Computer methods and programs in biomedicine Sep 24, 2019
BACKGROUND AND OBJECTIVE: With the rapid development of medical imaging and intelligent diagnosis, artificial intelligence methods have become a research hotspot of radiography processing technology in recent years. The low definition of knee magneti...
Artificial Intelligence Algorithms Computer Simulation Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Cartilage Humans Osteoarthritis, Knee Neural Networks, Computer Knee
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MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.

Magnetic resonance in medicine Aug 2, 2019
PURPOSE: To develop a machine learning approach using convolutional neural network for reducing MRI Gibbs-ringing artifact.
Knee Diffusion Magnetic Resonance Imaging Signal-To-Noise Ratio Humans Connectome Neural Networks, Computer Phantoms, Imaging Machine Learning Signal Processing, Computer-Assisted Algorithms Diffusion Brain Artifacts Brain Neoplasms Neuroimaging Image Processing, Computer-Assisted
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Undersampled MR image reconstruction using an enhanced recursive residual network.

Journal of magnetic resonance (San Diego, Calif. : 1997) Jul 9, 2019
When using aggressive undersampling, it is difficult to recover the high quality image with reliably fine features. In this paper, we propose an enhanced recursive residual network (ERRN) that improves the basic recursive residual network with a high...
Knee Rats Magnetic Resonance Imaging Datasets as Topic Algorithms Humans Brain Neural Networks, Computer Animals Image Processing, Computer-Assisted
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SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction.

Magnetic resonance in medicine Jun 5, 2019
PURPOSE: To develop and evaluate a novel deep learning-based reconstruction framework called SANTIS (Sampling-Augmented Neural neTwork with Incoherent Structure) for efficient MR image reconstruction with improved robustness against sampling pattern ...
Gadolinium DTPA Magnetic Resonance Imaging Humans Liver Neural Networks, Computer Image Interpretation, Computer-Assisted Contrast Media Knee
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