Temperature Control of the Focal Point of Focused Ultrasound Excitation Using Neural Network Approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

High intensity focused ultrasound (HIFU), as a viable thermal tissue ablation approach, has recently increased its popularity. During the ablation process, the temperature rapidly increases and reaches above physiological normal temperature. The temperature versus time history is given by solving the bio-heat transfer equation (BHTE) with the initial condition and boundary conditions. Instead of using the traditional mesh-based algorithm, we introduce a physics-informed neural network (PINN) to solve the inverse control problem. In this work, unknown magnitudes of the deposition power can be estimated during the training process to ensure that the magnitude values can raise up to a predetermined temperature value at the target region.

Original languageEnglish (US)
Title of host publicationLAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665443593
DOIs
StatePublished - 2021
Event2021 IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2021 - Gainesville, United States
Duration: Oct 4 2021Oct 5 2021

Publication series

NameLAUS 2021 - 2021 IEEE UFFC Latin America Ultrasonics Symposium, Proceedings

Conference

Conference2021 IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2021
Country/TerritoryUnited States
CityGainesville
Period10/4/2110/5/21

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Acoustics and Ultrasonics

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