The effect of boundary proximity on the response of individual ultrasound contrast agent microbubbles.

Phys Med Biol

Department of Medical Biophysics, University of Toronto, Toronto, Canada. Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada.

Published: April 2014

The effect of boundary proximity on ultrasound contrast agent microbubble emissions can play an important role in the context of both targeted microbubble imaging and contrast imaging of microvascular perfusion. In this study, individual microbubbles (n = 104) were insonicated as a function of distance from either a polystyrene membrane (Opticell(TM)) or a compliant agarose boundary up to offset distances of 1000 µm by use of an optical trapping setup. An 'acoustic spectroscopy' approach was employed, which entailed transmitting a sequence of tone bursts with centre frequencies ranging from 4 to 13.5 MHz to determine the frequency and amplitude of maximum radial response (fMR and AMR, respectively). For the Opticell(TM) case, microbubble response exhibited a distinctly oscillatory pattern with increasing offset distance, with an average maximal change in peak frequency and scattered pressure amplitude of 29.6% and 73.2%, respectively, as compared to their values adjacent to the boundary. For the agarose case, microbubbles exhibited an increase in fMR and a decrease in AMR with respect to their values in free space. Simulations indicate the oscillatory dependence on Opticell(TM) distance stems from wavelength-dependent interference phenomena. A recent analytical bubble-boundary model is in broad agreement with the relative AMR changes due to the more compliant agarose layer, however underestimates the change in relative fMR at the boundary.

Download full-text PDF

Source
http://dx.doi.org/10.1088/0031-9155/59/7/1721DOI Listing

Publication Analysis

Top Keywords

boundary proximity
8
ultrasound contrast
8
contrast agent
8
compliant agarose
8
boundary
5
proximity response
4
response individual
4
individual ultrasound
4
agent microbubbles
4
microbubbles boundary
4

Similar Publications

The realization and subsequent control of emerging structural and electronic phases in solid materials has significantly enhanced their functionalities, thereby benefiting both fundamental research and practical applications. The grain boundary (GB), as a transitional region within the crystal lattice, exhibits atomic shifts and distinct energy profiles. These unique characteristics offer a promising avenue for the discovery of advanced active catalytic phases for carbon, oxygen, hydrogen, and nitrogen evolution/reduction reactions.

View Article and Find Full Text PDF

Fractional calculus is emerging as a promising field to overcome the intricacies inherent in biological systems that prevent conventional techniques from producing optimal results. The present research emphasizes the impact of thermal radiation, chemical reactions, and radiation absorption on an electroosmotic magnetohydrodynamic (MHD) blood-based Jeffrey hybrid nanofluid flow in a microchannel, employing the novel Caputo-Fabrizio fractional calculus approach. This study is carried out on two models: ramped and constant boundary conditions with distinct zeta potentials.

View Article and Find Full Text PDF

Spatial accessibility to gun violence exposure on walkable routes to and from school.

SSM Popul Health

December 2024

The Ohio State University - College of Public Health, The Ohio State University - College of Social Work, 1947 College Rd N, Columbus, OH, 43210, USA.

Article Synopsis
  • This study analyzes how accessible gun violence is for students commuting to and from schools in Englewood, Chicago, using advanced detection technology.
  • Researchers found that gun violence incidents are often clustered around streets near schools, posing a risk to students on their way to school along designated safe routes.
  • The findings highlight the importance of expanding the conversation about school gun violence to include the dangers students face in the neighborhoods surrounding their schools, indicating a need for more effective safety measures.
View Article and Find Full Text PDF

Background: Clinical named entity recognition (CNER) is a fundamental task in natural language processing used to extract named entities from electronic medical record texts. In recent years, with the continuous development of machine learning, deep learning models have replaced traditional machine learning and template-based methods, becoming widely applied in the CNER field. However, due to the complexity of clinical texts, the diversity and large quantity of named entity types, and the unclear boundaries between different entities, existing advanced methods rely to some extent on annotated databases and the scale of embedded dictionaries.

View Article and Find Full Text PDF
Article Synopsis
  • * Researchers used the foreshock coordinate system to analyze Ultra-low Frequency (ULF) wave activity, finding a defined foreshock boundary that shifts outward with higher solar wind speeds and Mach numbers.
  • * The fluctuation level of foreshock waves varies, increasing near the bow shock with faster solar winds, but more significantly at the foreshock boundary with increased Mach numbers.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!