Literature DB >> 20211516

An acoustic backscatter-based method for localization of lesions induced by high-intensity focused ultrasound.

Xinliang Zheng1, Shahram Vaezy.   

Abstract

Ultrasound B-mode visualization of lesions produced in soft tissues using high-intensity focused ultrasound (HIFU) has been shown to be challenging when there is no cavitation activity and, therefore, no hyperechogenecity in the focal region. We investigated a method for the visualization and localization of HIFU-induced lesions after HIFU delivery was complete based on the change in backscattered radio-frequency (RF) signals. A HIFU transducer was used with focal dimension of 8 mm by 2 mm working at 5 MHz. HIFU was applied at different intensities to produce lesions in ex vivo chicken breast, with or without the generation of hyperecho in B-mode images. We compared lesion locations obtained from our RF-processing method, from measurement of physical lesions after exposure and from the B-mode images, if exposures had resulted in hyperecho. The results showed that the RF amplitude decreased as a function of time immediately after stopping the HIFU exposure. The lesions were clearly visualized in two-dimensional (2-D) images of the decay rate of RF amplitude, no matter with or without hyperecho. In experiments with hyperecho, when comparing to physical lesion locations, there was no statistically significant difference in the localization accuracy between the RF-based and the hyperecho-based method (p = 0.76). In cases without hyperecho, the distance between RF-based locations and measured lesion locations was 3.37 +/- 1.59 mm (mean +/- standard deviation). The axial and lateral difference were 2.00 +/- 2.31 mm and 0.85 +/- 2.15 mm, respectively, and no statistically significant difference was found between lesion coordinates (axial: p = 0.37 and lateral: p = 0.15). We demonstrated the feasibility of our proposed RF-based method for the localization of HIFU-induced lesions immediately after HIFU treatment. Using the decay rate in RF amplitude as the signature of lesion formation, our method can detect lesion locations even without the appearance of hyperecho. Copyright 2010 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20211516     DOI: 10.1016/j.ultrasmedbio.2010.01.001

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


  6 in total

1.  Visualization of HIFU-induced lesion boundaries by axial-shear strain elastography: a feasibility study.

Authors:  Arun K Thittai; Belfor Galaz; Jonathan Ophir
Journal:  Ultrasound Med Biol       Date:  2011-01-26       Impact factor: 2.998

2.  High-frequency ultrasound m-mode imaging for identifying lesion and bubble activity during high-intensity focused ultrasound ablation.

Authors:  Ronald E Kumon; Madhu S R Gudur; Yun Zhou; Cheri X Deng
Journal:  Ultrasound Med Biol       Date:  2012-02-15       Impact factor: 2.998

3.  High-intensity focused ultrasound monitoring using harmonic motion imaging for focused ultrasound (HMIFU) under boiling or slow denaturation conditions.

Authors:  Gary Y Hou; Fabrice Marquet; Shutao Wang; Iason-Zacharias Apostolakis; Elisa E Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-07       Impact factor: 2.725

4.  Multi-parametric monitoring and assessment of high-intensity focused ultrasound (HIFU) boiling by harmonic motion imaging for focused ultrasound (HMIFU): an ex vivo feasibility study.

Authors:  Gary Y Hou; Fabrice Marquet; Shutao Wang; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2014-02-20       Impact factor: 3.609

5.  Estimating dynamic changes of tissue attenuation coefficient during high-intensity focused ultrasound treatment.

Authors:  Siavash Rahimian; Jahan Tavakkoli
Journal:  J Ther Ultrasound       Date:  2013-09-02

6.  High-Intensity Focused Ultrasound Lesion Detection Using Adaptive Compressive Sensing Based on Empirical Mode Decomposition.

Authors:  Hadi Ghasemifard; Hamid Behnam; Jahan Tavakkoli
Journal:  J Med Signals Sens       Date:  2019 Jan-Mar
  6 in total

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