Literature DB >> 21276656

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

Arun K Thittai1, Belfor Galaz, Jonathan Ophir.   

Abstract

In this paper, we report on a study that investigated the feasibility of reliably visualizing high-intensity focused ultrasound (HIFU) lesion boundaries using axial-shear strain elastograms (ASSE). The HIFU-induced lesion cases used in the present work were selected from data acquired in a previous study. The samples consisted of excised canine livers with thermal lesions produced by a magnetic resonance-compatible HIFU system (GE Medical System, Milwaukee, WI, USA) and were cast in a gelatin block for the elastographic experiment. Both single and multiple HIFU-lesion samples were investigated. For each of the single-lesion samples, the lesion boundaries were determined independently from the axial strain elastogram (ASE) and ASSE at various iso-intensity contour thresholds (from -2 dB to -6 dB), and the area of the enclosed lesion was computed. For samples with multiple lesions, the corresponding ASSE was analyzed for identifying any unique axial-shear strain zones of interest. We further performed finite element modeling (FEM) of simple two-inclusion cases to verify whether the in vitro ASSE obtained were reasonable. The results show that the estimation of the lesion area using ASSE is less sensitive to iso-intensity threshold selection, making this method more robust compared with the ASE-based method. For multiple lesion cases, it was shown that ASSE enables high-contrast visualization of a "thin" untreated region in between multiple fully-treated HIFU-lesions. This contrast visualization was also noticed in the FEM predictions. In summary, the results demonstrate that it is feasible to reliably visualize HIFU lesion boundaries using ASSE.
Copyright © 2011 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21276656      PMCID: PMC3051355          DOI: 10.1016/j.ultrasmedbio.2010.11.009

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


  37 in total

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  7 in total

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Authors:  Ehud J Schmidt; Maggie M Fung; Pelin Aksit Ciris; Ting Song; Ajit Shankaranarayanan; Godtfred Holmvang; Sandeep N Gupta; Miguel Chaput; Robert A Levine; Jeremy Ruskin; Vivek Y Reddy; Andre D'avila; Anthony H Aletras; Stephan B Danik
Journal:  Europace       Date:  2013-09-06       Impact factor: 5.214

2.  Ex Vivo characterization of canine liver tissue viscoelasticity after high-intensity focused ultrasound ablation.

Authors:  Danial Shahmirzadi; Gary Y Hou; Jiangang Chen; Elisa E Konofagou
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3.  Fast lesion mapping during HIFU treatment using harmonic motion imaging guided focused ultrasound (HMIgFUS) in vitro and in vivo.

Authors:  Yang Han; Shutao Wang; Thomas Payen; Elisa Konofagou
Journal:  Phys Med Biol       Date:  2017-03-21       Impact factor: 3.609

4.  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

5.  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

Review 6.  Magnetic resonance image-guided versus ultrasound-guided high-intensity focused ultrasound in the treatment of breast cancer.

Authors:  Sheng Li; Pei-Hong Wu
Journal:  Chin J Cancer       Date:  2012-12-14

7.  Tumor characterization and treatment monitoring of postsurgical human breast specimens using harmonic motion imaging (HMI).

Authors:  Yang Han; Shutao Wang; Hanina Hibshoosh; Bret Taback; Elisa Konofagou
Journal:  Breast Cancer Res       Date:  2016-05-09       Impact factor: 6.466

  7 in total

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