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One of the current challenges in ultrasound imaging is achieving higher frame rates, particularly in cardiac applications, where tracking the heart motion and other rapid events can provide potential valuable diagnostic information. The main drawback of ultrasound high-frame-rate strategies is that usually they partly sacrifice image quality in order to speed up the acquisition time. In particular, multi-line transmission (MLT), which consists in transmitting multiple ultrasound beams simultaneously in different directions, has been proven able to improve frame rates in echocardiography, unfortunately generating artifacts due to inter-beam crosstalk interferences. This work investigates the possibility to effectively suppress crosstalk artifacts in MLT while improving image quality by applying beamforming techniques based on backscattered signals spatial coherence. Several coherence-based algorithms (i.e., short-lag filtered-delay multiply and sum beamforming, coherence and generalized coherence factor, phase and sign coherence, and nonlinear beamforming with p th root compression) are implemented and compared, and their performance trends are evaluated when varying their design parameters. Indeed, experimental results of phantom and in vivo cardiac acquisitions demonstrate that this class of algorithms can provide significant benefits compared with delay and sum, well-suppressing artifacts (up to 48.5-dB lower crosstalk), and increasing image resolution (by up to 46.3%) and contrast (by up to 30 dB in terms of contrast ratio and 12.6% for generalized contrast-to-noise ratio) at the same time.
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http://dx.doi.org/10.1109/TUFFC.2019.2945365 | DOI Listing |
Unlabelled: Passive Acoustic Mapping (PAM) is rapidly emerging as a ubiquitous tool for real-time localization and monitoring of therapeutic ultrasound treatments involving cavitation in the context of safety or efficacy. The ability of PAM to spatially quantify and resolve cavitation activity offers a unique opportunity to correlate the energy of cavitation phenomena with locally observed bioeffects.
Objective: We aim to develop methods of measuring and reporting spatio-temporally varying cavitation energies that are energy-preserving, device-independent, and adequately normalized to the volume of tissue being affected by the reported cavitation activity.
IEEE Trans Med Imaging
September 2025
In ultrasound imaging, propagation of an acoustic wavefront through heterogeneous media causes phase aberrations that degrade the coherence of the reflected wavefront, leading to reduced image resolution and contrast. Adaptive imaging techniques attempt to correct this phase aberration and restore coherence, leading to improved focusing of the image. We propose an autofocusing paradigm for aberration correction in ultrasound imaging by fitting an acoustic velocity field to pressure measurements, via optimization of the common midpoint phase error (CMPE), using a straight-ray wave propagation model for beamforming in diffusely scattering media.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Centre de Vision Numérique, CentraleSupélec, Université Paris-Saclay, Inria, Gif-Sur-Yvette, France.
Conventional techniques for underwater source localization have traditionally relied on optimization methods, matched-field processing, beamforming, and, more recently, deep learning. However, these methods often fall short to fully exploit the data correlation crucial for accurate source localization. This correlation can be effectively captured using graphs, which consider the spatial relationship among data points through edges.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Laboratory of Noise and Audio Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
The deconvolution approach has become a standard method for high-resolution acoustic source mapping, but it suffers from a heavy computational burden. Deep learning-based methods have shown promising progress but often rely on single-type input features and ignore the position- and frequency-dependent variabilities of the point spread function (PSF), which leads to a decline in localization accuracy. This paper proposes a supervised learning framework based on dual-encoder U-net architecture to convert beamforming maps into a high-resolution map of true source strength distribution.
View Article and Find Full Text PDFNeurosci Lett
September 2025
The Zickler Family Prenatal Pediatrics Institute, Children's National Hospital, Washington, DC, United States; Department of Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, United States. Electronic address:
Objective: We examined whether directional flow among brain hubs in healthy-term infants is associated with neurodevelopmental outcomes at two years of age.
Methods: High-density electroencephalography (EEG) was collected within 72 h after birth. Neurodevelopmental outcomes (cognitive, language, and motor scores) were measured using Bayley Scales of Infant Development-III (BSID-III) at two years.