Literature DB >> 17189060

Frequency and pressure dependent attenuation and scattering by microbubbles.

Meng-Xing Tang1, Robert J Eckersley.   

Abstract

The aim of this study was to evaluate experimentally the degree of pressure dependence of attenuation and scattering by microbubbles at low acoustic pressures with an empirical nonlinear model. In addition, the pressure dependency over a range of frequencies (1 to 5 MHz) has been studied. A series of transmission and scattering measurements were made with the microbubble SonoVue, using an automated system. Results show that, within the pressure range studied, attenuation as a result of the microbubble is pressure-dependent, whereas no such dependence of scattering was detectable. The pressure dependence of attenuation for SonoVue was found to be most significant at 1.5 MHz. The scattering is shown to be the highest at the lowest insonation frequency, around 1 approximately 1.25 MHz, and then decreases with frequency.

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Year:  2007        PMID: 17189060     DOI: 10.1016/j.ultrasmedbio.2006.07.031

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  10 in total

1.  An original methodology for quantitative assessment of perfusion in small animal studies using contrast-enhanced ultrasound.

Authors:  Sebastien Mulé; Alain De Cesare; Frédérique Frouin; Olivier Lucidarme; Alain Herment
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007

2.  Acoustic attenuation by contrast agent microbubbles in superficial tissue markedly diminishes petechiae bioeffects in deep tissue.

Authors:  Ji Song; Alexander L Klibanov; John A Hossack; Richard J Price
Journal:  Invest Radiol       Date:  2008-05       Impact factor: 6.016

3.  Shell properties and concentration stability of acoustofluidic delivery agents.

Authors:  Hussain Alsadiq; Karnaker Tupally; Robert Vogel; Ganesh Kokil; Harendra S Parekh; Martin Veidt
Journal:  Phys Eng Sci Med       Date:  2021-01-04

4.  Quantitative contrast-enhanced ultrasound imaging: a review of sources of variability.

Authors:  M-X Tang; H Mulvana; T Gauthier; A K P Lim; D O Cosgrove; R J Eckersley; E Stride
Journal:  Interface Focus       Date:  2011-05-18       Impact factor: 3.906

5.  Experimental acoustic characterization of an endoskeletal antibubble contrast agent: First results.

Authors:  Anastasiia Panfilova; Peiran Chen; Ruud J G van Sloun; Hessel Wijkstra; Michiel Postema; Albert T Poortinga; Massimo Mischi
Journal:  Med Phys       Date:  2021-10-14       Impact factor: 4.506

6.  Nonlinear X-wave ultrasound imaging of acoustic biomolecules.

Authors:  David Maresca; Daniel P Sawyer; Guillaume Renaud; Audrey Lee-Gosselin; Mikhail G Shapiro
Journal:  Phys Rev X       Date:  2018-10-04       Impact factor: 15.762

7.  Contrast-enhanced ultrasonography of cervical carcinoma: perfusion pattern and relationship with tumour angiogenesis.

Authors:  Wei Zheng; Yong-Hong Xiong; Jing Han; Zhi-Xing Guo; Yu-Hong Li; An-Hua Li; Xiao-Qing Pei
Journal:  Br J Radiol       Date:  2016-06-24       Impact factor: 3.039

8.  High-Frequency Array-Based Nanobubble Nonlinear Imaging in a Phantom and In Vivo.

Authors:  Carly Pellow; Emmanuel Cherin; Eric C Abenojar; Agata A Exner; Gang Zheng; Christine E M Demore; David E Goertz
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-05-25       Impact factor: 3.267

9.  The relation of Bleomycin Delivery Efficiency to Microbubble Sonodestruction and Cavitation Spectral Characteristics.

Authors:  Martynas Maciulevičius; Mindaugas Tamošiūnas; Mindaugas S Venslauskas; Saulius Šatkauskas
Journal:  Sci Rep       Date:  2020-05-08       Impact factor: 4.379

10.  Visualization of multimodal polymer-shelled contrast agents using ultrasound contrast sequences: an experimental study in a tissue mimicking flow phantom.

Authors:  Malin Larsson; Matilda Larsson; Letizia Oddo; Silvia Margheritelli; Gaio Paradossi; Jacek Nowak; Lars-Åke Brodin; Kenneth Caidahl; Anna Bjällmark
Journal:  Cardiovasc Ultrasound       Date:  2013-08-29       Impact factor: 2.062

  10 in total

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