Jointly learning selection matrices for transmitters, receivers and fourier coefficients in multichannel imaging
Strategic subsampling has become a focal point due to its effectiveness in compressing
data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This …
data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging. This …
Dehazing ultrasound using diffusion models
TSW Stevens, FC Meral, J Yu… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Echocardiography has been a prominent tool for the diagnosis of cardiac disease. However,
these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges …
these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges …
Ultrasound viscoelastography by acoustic radiation force: A state-of-the-art review
Ultrasound elastography (USE) is a promising tool for tissue characterization as several
diseases result in alterations of tissue structure and composition, which manifest as changes …
diseases result in alterations of tissue structure and composition, which manifest as changes …
A survey on deep learning in medical ultrasound imaging
K Song, J Feng, D Chen - Frontiers in Physics, 2024 - frontiersin.org
Ultrasound imaging has a history of several decades. With its non-invasive, low-cost
advantages, this technology has been widely used in medicine and there have been many …
advantages, this technology has been widely used in medicine and there have been many …
Integrating AI in NDE: Techniques, Trends, and Further Directions
E Pérez, CE Ardic, O Çakıroğlu, K Jacob… - arXiv preprint arXiv …, 2024 - arxiv.org
The digital transformation is fundamentally changing our industries, affecting planning,
execution as well as monitoring of production processes in a wide range of application …
execution as well as monitoring of production processes in a wide range of application …
Hardware-Independent Deep Signal Processing: A Feasibility Study in Echocardiography
EL Gundersen, E Smistad, TS Jahren… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deep learning (DL) models have emerged as alternative methods to conventional
ultrasound (US) signal processing, offering the potential to mimic signal processing chains …
ultrasound (US) signal processing, offering the potential to mimic signal processing chains …
Boosting Cardiac Color Doppler Frame Rates with Deep Learning
Color Doppler echocardiography enables visualization of blood flow within the heart.
However, the limited frame rate impedes the quantitative assessment of blood velocity …
However, the limited frame rate impedes the quantitative assessment of blood velocity …
[HTML][HTML] Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set
Objective Characterization of the optic nerve through measurement of optic nerve diameter
(OND) and optic nerve sheath diameter (ONSD) using transorbital sonography (TOS) has …
(OND) and optic nerve sheath diameter (ONSD) using transorbital sonography (TOS) has …
Automatic Quantitative Assessment of Muscle Strength Based on Deep Learning and Ultrasound
X Yang, B Zhang, Y Liu, Q Lv, J Guo - Ultrasonic Imaging, 2024 - journals.sagepub.com
Skeletal muscle is a vital organ that promotes human movement and maintains posture.
Accurate assessment of muscle strength is helpful to provide valuable insights for athletes' …
Accurate assessment of muscle strength is helpful to provide valuable insights for athletes' …
A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept
E Bosco, E Spairani, E Toffali, V Meacci… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Goal: In this study, we demonstrate that a deep neural network (DNN) can be trained to
reconstruct high-contrast images, resembling those produced by the multistatic Synthetic …
reconstruct high-contrast images, resembling those produced by the multistatic Synthetic …