AIMC Topic: Motion

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Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 29, 2024
Accurate reconstruction of a high-resolution 3D volume of the heart is critical for comprehensive cardiac assessments. However, cardiac magnetic resonance (CMR) data is usually acquired as a stack of 2D short-axis (SAX) slices, which suffers from the...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Deep Learning Motion Magnetic Resonance Imaging Heart
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Model-free robust motion control for biological optical microscopy using time-delay estimation with an adaptive RBFNN compensator.

ISA transactions Apr 22, 2024
The field of large numerical aperture microscopy has witnessed significant advancements in spatial and temporal resolution, as well as improvements in optical microscope imaging quality. However, these advancements have concurrently raised the demand...
Algorithms Image Processing, Computer-Assisted Motion Microscopy Retina Neural Networks, Computer
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Deep learning-based rapid image reconstruction and motion correction for high-resolution cartesian first-pass myocardial perfusion imaging at 3T.

Magnetic resonance in medicine Apr 4, 2024
PURPOSE: To develop and evaluate a deep learning (DL) -based rapid image reconstruction and motion correction technique for high-resolution Cartesian first-pass myocardial perfusion imaging at 3T with whole-heart coverage for both single-slice (SS) a...
Humans Algorithms Myocardial Perfusion Imaging Artifacts Signal-To-Noise Ratio Deep Learning Imaging, Three-Dimensional Adult Heart Male Image Processing, Computer-Assisted Motion Prospective Studies Female
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DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning.

IEEE transactions on medical imaging Apr 3, 2024
3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current state-of-the art methods focus on estimating dense pixel-/voxel-wise moti...
Humans Heart Ventricles Deep Learning Motion Heart Magnetic Resonance Imaging
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Intravoxel incoherent motion and diffusion kurtosis imaging and their machine-learning-based texture analysis for detection and assessment of prostate cancer severity at 3 T.

NMR in biomedicine Mar 31, 2024
OBJECTIVES: To evaluate the role of combined intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) and their machine-learning-based texture analysis for the detection and assessment of severity in prostate cancer (PCa).
Motion Diffusion Magnetic Resonance Imaging Aged ROC Curve Male Prostatic Neoplasms Middle Aged Humans Machine Learning
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Patient's Healthy-Limb Motion Characteristic-Based Assist-As-Needed Control Strategy for Upper-Limb Rehabilitation Robots.

Sensors (Basel, Switzerland) Mar 25, 2024
The implementation of a progressive rehabilitation training model to promote patients' motivation efforts can greatly restore damaged central nervous system function in patients. Patients' active engagement can be effectively stimulated by assist-as-...
Movement Robotics Upper Extremity Humans Motion Algorithms
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Industrially Scalable Textile Sensing Interfaces for Extended Artificial Tactile and Human Motion Monitoring without Compromising Comfort.

ACS applied materials & interfaces Mar 23, 2024
Smart wearables with the capability for continuous monitoring, perceiving, and understanding human tactile and motion signals, while ensuring comfort, are highly sought after for intelligent healthcare and smart life systems. However, concurrently ac...
Humans Wearable Electronic Devices Motion Touch Robotics Textiles
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Fast Human Motion reconstruction from sparse inertial measurement units considering the human shape.

Nature communications Mar 18, 2024
Inertial Measurement Unit-based methods have great potential in capturing motion in large-scale and complex environments with many people. Sparse Inertial Measurement Unit-based methods have more research value due to their simplicity and flexibility...
Motion Neural Networks, Computer Range of Motion, Articular Humans Biomechanical Phenomena Human Body
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Imposing Motion Variability for Ergonomic Human-Robot Collaboration.

IISE transactions on occupational ergonomics and human factors Mar 18, 2024
OCCUPATIONAL APPLICATIONS"Overassistive" robots can adversely impact long-term human-robot collaboration in the workplace, leading to risks of worker complacency, reduced workforce skill sets, and diminished situational awareness. Ergonomics practiti...
Man-Machine Systems Cooperative Behavior Humans Motion Robotics Ergonomics
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ANYmal parkour: Learning agile navigation for quadrupedal robots.

Science robotics Mar 13, 2024
Performing agile navigation with four-legged robots is a challenging task because of the highly dynamic motions, contacts with various parts of the robot, and the limited field of view of the perception sensors. Here, we propose a fully learned appro...
Upper Extremity Motion Locomotion Learning Robotics
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