Predicting the high intensity focused ultrasound focus in vivo using acoustic radiation force imaging.

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Title: Predicting the high intensity focused ultrasound focus in vivo using acoustic radiation force imaging.
Authors: Shi, Xinwang1,2 (AUTHOR), Zhao, Fenglong1,2 (AUTHOR), Feng, Lian1,2 (AUTHOR), Liu, Yijing1,2 (AUTHOR), Zhou, Xiaowei1,2,3 (AUTHOR) zhou.xiaowei@cqmu.edu.cn
Source: Medical Physics. Mar2025, Vol. 52 Issue 3, p1728-1745. 18p.
Subjects: High-intensity focused ultrasound, Acoustic radiation force impulse imaging, Ultrasonic therapy, Shear waves, Surgery, Motion estimation (Signal processing), Diagnostic imaging
Abstract: Background: One big challenge in the noninvasive high‐intensity focused ultrasound (HIFU) surgery is that the location and shape of its focus is unpredictable at the preoperative stage due to the complexity of sound wave propagation. The Acoustic Radiation Force Impulse (ARFI) imaging is a potential solution to this problem, but artifacts resulting from shear wave propagation remain to be solved. Purpose: In this study, we proposed avoiding those artefacts by applying the ARFI technique at a high imaging frame rate within a very short time before the shear waves start to propagate. Methods: Using single transmission with a convex imaging probe, two ultrafast imaging modalities (the diverging wave and the wide beam), were developed in the ARFI framework, and their reliabilities were validated on a nylon string phantom by the centroid tracking method borrowed from ultrasound localization microscopy (ULM). The proposed ARFI method was tested on a clinically equivalent HIFU system under different acoustic radiation intensities by in‐vitro, ex‐vivo and in‐vivo experiments. In three experimental scenarios, we delivered short HIFU stimulation pulses at varying acoustic powers to induce tissue motion within the focal region. At each experimental site, both diverging wave and wide‐beam imaging techniques were employed for motion estimation. Based on the focus prediction derived from the motion estimation, HIFU ablation treatment was performed. The treated samples were then incised to examine the damaged areas. Additionally, ultrasound B‐mode images were acquired before and after the procedure and saved for analysis. Results: Quantitative analysis showed that the ARFI with wide beam imaging was able to predict the HIFU focus preoperatively, only with 1 to 3 mm of errors in focal central location, and less than 23% of percentage errors in focal area in most cases. However, the diverging wave imaging failed to predict the HIFU focus due to its low signal‐to‐noise ratio. Conclusions: In conclusion, the inherent shear wave artefacts in ARFI for predicting the HIFU focus can be successfully avoided by carefully designing the imaging strategy and its working sequence. This ARFI technique was validated through a series of experiments on a clinically equivalent HIFU system, which demonstrated its capability in assisting surgical planning. [ABSTRACT FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Predicting the high intensity focused ultrasound focus in vivo using acoustic radiation force imaging.
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  Data: <searchLink fieldCode="AR" term="%22Shi%2C+Xinwang%22">Shi, Xinwang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Fenglong%22">Zhao, Fenglong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Lian%22">Feng, Lian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Yijing%22">Liu, Yijing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Xiaowei%22">Zhou, Xiaowei</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> zhou.xiaowei@cqmu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Mar2025, Vol. 52 Issue 3, p1728-1745. 18p.
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  Data: <searchLink fieldCode="DE" term="%22High-intensity+focused+ultrasound%22">High-intensity focused ultrasound</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+radiation+force+impulse+imaging%22">Acoustic radiation force impulse imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+therapy%22">Ultrasonic therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Shear+waves%22">Shear waves</searchLink><br /><searchLink fieldCode="DE" term="%22Surgery%22">Surgery</searchLink><br /><searchLink fieldCode="DE" term="%22Motion+estimation+%28Signal+processing%29%22">Motion estimation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Background: One big challenge in the noninvasive high‐intensity focused ultrasound (HIFU) surgery is that the location and shape of its focus is unpredictable at the preoperative stage due to the complexity of sound wave propagation. The Acoustic Radiation Force Impulse (ARFI) imaging is a potential solution to this problem, but artifacts resulting from shear wave propagation remain to be solved. Purpose: In this study, we proposed avoiding those artefacts by applying the ARFI technique at a high imaging frame rate within a very short time before the shear waves start to propagate. Methods: Using single transmission with a convex imaging probe, two ultrafast imaging modalities (the diverging wave and the wide beam), were developed in the ARFI framework, and their reliabilities were validated on a nylon string phantom by the centroid tracking method borrowed from ultrasound localization microscopy (ULM). The proposed ARFI method was tested on a clinically equivalent HIFU system under different acoustic radiation intensities by in‐vitro, ex‐vivo and in‐vivo experiments. In three experimental scenarios, we delivered short HIFU stimulation pulses at varying acoustic powers to induce tissue motion within the focal region. At each experimental site, both diverging wave and wide‐beam imaging techniques were employed for motion estimation. Based on the focus prediction derived from the motion estimation, HIFU ablation treatment was performed. The treated samples were then incised to examine the damaged areas. Additionally, ultrasound B‐mode images were acquired before and after the procedure and saved for analysis. Results: Quantitative analysis showed that the ARFI with wide beam imaging was able to predict the HIFU focus preoperatively, only with 1 to 3 mm of errors in focal central location, and less than 23% of percentage errors in focal area in most cases. However, the diverging wave imaging failed to predict the HIFU focus due to its low signal‐to‐noise ratio. Conclusions: In conclusion, the inherent shear wave artefacts in ARFI for predicting the HIFU focus can be successfully avoided by carefully designing the imaging strategy and its working sequence. This ARFI technique was validated through a series of experiments on a clinically equivalent HIFU system, which demonstrated its capability in assisting surgical planning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mp.17564
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        Text: English
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        StartPage: 1728
    Subjects:
      – SubjectFull: High-intensity focused ultrasound
        Type: general
      – SubjectFull: Acoustic radiation force impulse imaging
        Type: general
      – SubjectFull: Ultrasonic therapy
        Type: general
      – SubjectFull: Shear waves
        Type: general
      – SubjectFull: Surgery
        Type: general
      – SubjectFull: Motion estimation (Signal processing)
        Type: general
      – SubjectFull: Diagnostic imaging
        Type: general
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      – TitleFull: Predicting the high intensity focused ultrasound focus in vivo using acoustic radiation force imaging.
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            NameFull: Shi, Xinwang
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            NameFull: Zhao, Fenglong
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            NameFull: Feng, Lian
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            NameFull: Liu, Yijing
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              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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