Machine learning in ultrasound computer‐aided diagnostic systems: a survey
The ultrasound imaging is one of the most common schemes to detect diseases in the
clinical practice. There are many advantages of ultrasound imaging such as safety …
clinical practice. There are many advantages of ultrasound imaging such as safety …
Ultrasound imaging to assess skeletal muscle architecture during movements: a systematic review of methods, reliability, and challenges
B Van Hooren, P Teratsias… - Journal of Applied …, 2020 - journals.physiology.org
B-mode ultrasound is often used to quantify muscle architecture during movements. Our
objectives were to 1) systematically review the reliability of fascicle length (FL) and …
objectives were to 1) systematically review the reliability of fascicle length (FL) and …
Real-time magnetic navigation of a rotating colloidal microswarm under ultrasound guidance
Objective: Untethered microrobots hold great promise for applications in biomedical field
including targeted delivery, biosensing, and microsurgery. A major challenge of using …
including targeted delivery, biosensing, and microsurgery. A major challenge of using …
Lower limb motion estimation using ultrasound imaging: A framework for assistive device control
Objective: Powered assistive devices need improved control intuitiveness to enhance their
clinical adoption. Therefore, the intent of individuals should be identified and the device …
clinical adoption. Therefore, the intent of individuals should be identified and the device …
Thyroid nodule ultrasound image classification through hybrid feature cropping network
R Song, L Zhang, C Zhu, J Liu, J Yang, T Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
With the increasing cases of thyroid malignant tumors, the diagnosis of thyroid nodule has
attracted more and more attention. Deep learning has achieved promising results in …
attracted more and more attention. Deep learning has achieved promising results in …
Estimating full regional skeletal muscle fibre orientation from B-mode ultrasound images using convolutional, residual, and deconvolutional neural networks
This paper presents an investigation into the feasibility of using deep learning methods for
developing arbitrary full spatial resolution regression analysis of B-mode ultrasound images …
developing arbitrary full spatial resolution regression analysis of B-mode ultrasound images …
A single-shot region-adaptive network for myotendinous junction segmentation in muscular ultrasound images
GQ Zhou, EZ Huo, M Yuan, P Zhou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Tracking the myotendinous junction (MTJ) in consecutive ultrasound images is crucial for
understanding the mechanics and pathological conditions of the muscle-tendon unit …
understanding the mechanics and pathological conditions of the muscle-tendon unit …
Muscle deformation correlates with output force during isometric contraction
LA Hallock, A Velu, A Schwartz… - 2020 8th IEEE RAS …, 2020 - ieeexplore.ieee.org
Despite the utility of musculoskeletal dynamics modeling, there exists no safe, noninvasive
method of measuring in vivo muscle output force in real time. In this paper, we demonstrate …
method of measuring in vivo muscle output force in real time. In this paper, we demonstrate …
Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform
In quantitative studies, pennation angle is one of the essential parameters on skeletal
muscles and could be used for prosthesis control. Ultrasound imaging is widely applied in …
muscles and could be used for prosthesis control. Ultrasound imaging is widely applied in …
Toward real-time muscle force inference and device control via optical-flow-tracked muscle deformation
LA Hallock, B Sud, C Mitchell, E Hu… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Despite the utility of musculoskeletal dynamics modeling, there exists no safe, noninvasive
method of measuring in vivo muscle output force in real time—limiting both biomechanical …
method of measuring in vivo muscle output force in real time—limiting both biomechanical …