[Oral Presentation]Numerical simulation of a method to reduce high cranial pressure in high intensity focused ultrasound for transcranial brain therapy - Presentation details - 2021 International Conference on Medical Imaging Physics and Engineering and the 10th National Annual Meeting of Medical Imaging Physics (ICMIPE 2021)

[Oral Presentation]Numerical simulation of a method to reduce high cranial pressure in high intensity focused ultrasound for transcranial brain therapy - Presentation details

Numerical simulation of a method to reduce high cranial pressure in high intensity focused ultrasound for transcranial brain therapy

ID：97 Submission ID：39 View Protection：ATTENDEE Updated Time：2021-11-08 15:58:52 Hits：575 Oral Presentation

Start Time：2021-11-14 20:50 （Asia/Shanghai）

Duration：25min

Session：[PS1] Plenary Session 1 [CT1] Workshop on CT

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Abstract

Transcranial high intensity focused ultrasound (HIFU) may form hot spots with higher acoustic pressure and temperature in the skull, causing damage to the skull and surrounding tissues. This paper optimized the existing cranial high pressure reduction technology with phase regulation based on the time reversal method and proposed the high cranial pressure reduction algorithm based on particle swarm optimization (PSO-SHPRA), which is an algorithm of adding amplitude modulation to excitation signal and using particle swarm optimization (PSO) to optimize the amplitude modulation coefficients in an iterative manner. To verify the effectiveness of the algorithm, we used the Westervelt nonlinear acoustic propagation equation to carry out numericals based on a transcranial ultrasound therapy model. The results show that reducing the high cranial pressure is feasible when focusing the ultrasound on the intracranial target area. This paper could provide references for clinical therapeutic planning during the HIFU transcranial ultrasound therapy.

Keywords

HIFU,transcranial,time reversal,reduce high cranial pressure,PSO

Speaker

Jiaqi Wang

University of Science and Technology of China

Department of Electronic Engineering and Information
University of Science and Technology of China

Submission Author

Jiaqi Wang University of Science and Technology of China

Jinxu Tao University of Science and Technology of China

Xinyu Guo University of Science and Technology of China

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Important Dates

Abstract submission date:

~~2021-08-31~~

2021-10-25

Full paper submission date:

~~2021-09-15~~

2021-10-25

Notification of acceptance date:

~~2021-09-30~~

2021-11-01

Conference date:

2021-11-12~2021-11-14

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