We briefly review previously published work based on the uses of acoustic quantification (AQ) or validation of this technology. We also discuss the limitations of AQ in a critical review of the literature, including operator dependency, signal noise, and low temporal resolution. We describe some enhancements made to AQ software to address these limitations and improve the accuracy of this technique, including digital beam processing, harmonic imaging, and signal averaging. Several anticipated applications are also briefly described for those interested in the future development of this technology. These future applications include noninvasive long-term monitoring of ventricular function and objective assessment of regional ventricular wall motion in two and three dimensions.
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http://dx.doi.org/10.1111/j.1540-8175.1999.tb00789.x | DOI Listing |
J Neural Eng
January 2025
School of Biomedical Engineering, Southern Medical University, 1023 Shatai Road, Baiyun District, Guangzhou, Guangdong, 510515, CHINA.
Objective: Entrainment has been considered as a potential mechanism underlying the facilitatory effect of rhythmic neural stimulation on neurorehabilitation. The inconsistent effects of brain stimulation on neurorehabilitation found in the literature may be caused by the variability in neural entrainment. To dissect the underlying mechanisms and optimize brain stimulation for improved effectiveness, it is critical to reliably assess the occurrence and the strength of neural entrainment.
View Article and Find Full Text PDFSci Total Environ
January 2025
Center for Marine Sensors, Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, 26382 Wilhelmshaven, Germany.
Microplastics (MP) are known to be ubiquitous. The pathways and fate of these contaminants in the marine environment are receiving increasing attention, but still knowledge gaps exist. In particular, the link between mass-based MP quantification and oceanographic parameters is often lacking.
View Article and Find Full Text PDFPhotoacoustics
February 2025
Erasmus MC, Cardiovascular Institute, Department of Cardiology, Biomedical Engineering, Rotterdam, The Netherlands.
Photoacoustic imaging offers optical contrast images of human tissue at acoustic resolution, making it valuable for diverse clinical applications. However, quantifying tissue composition via optical contrast remains challenging due to the unknown light fluence within the tissue. Here, we propose a method that leverages known chromophores (, arterial blood) to improve the accuracy of quantitative photoacoustic imaging.
View Article and Find Full Text PDFProc IEEE Int Conf Acoust Speech Signal Process
April 2024
Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
Physics-driven deep learning (PD-DL) techniques have recently emerged as a powerful means for improved computational imaging, including in MRI applications. These methods use the physics information by incorporating the known forward model for data fidelity, while performing regularization using neural networks. There has been substantial progress in the training of PD-DL reconstruction methods, ranging from simple supervised learning to more practical self-supervised learning and generative models that allow training without reference data.
View Article and Find Full Text PDFRes Dev Disabil
January 2025
Laboratory of Observation, Diagnosis, and Education, Department of Psychology and Cognitive Science - University of Trento, Via Matteo del Ben, 5B, Rovereto, TN 38068, Italy. Electronic address:
Background: Computational approaches hold significant promise for enhancing diagnosis and therapy in child and adolescent clinical practice. Clinical procedures heavily depend n vocal exchanges and interpersonal dynamics conveyed through speech. Research highlights the importance of investigating acoustic features and dyadic interactions during child development.
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