Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation

An MRI Validation

Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad Boctor

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

Abstract

High intensity focused ultrasound (HIFU) is used to ablate pathological tissue non-invasively, but reliable and real-time thermal monitoring is crucial to ensure a safe and effective procedure. It can be provided by MRI, which is an expensive and cumbersome modality. We propose a monitoring method that enables real-time assessment of temperature distribution by combining intra-operative ultrasound (US) with physics-based simulation. During the ablation, changes in acoustic properties due to rising temperature are monitored using an external US sensor. A physics-based HIFU simulation model is then used to generate 3D temperature maps at high temporal and spatial resolutions. Our method leverages current HIFU systems with external low-cost and MR-compatible US sensors, thus allowing its validation against MR thermometry, the gold-standard clinical temperature monitoring method. We demonstrated in silico the method feasibility, performed sensitivity analysis and showed experimentally its applicability on phantom data using a clinical HIFU system. Promising results were obtained: a mean temperature error smaller than 1.5°C was found in four experiments.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
EditorsAlejandro F. Frangi, Gabor Fichtinger, Julia A. Schnabel, Carlos Alberola-López, Christos Davatzikos
PublisherSpringer Verlag
Pages89-97
Number of pages9
ISBN (Print)9783030009366
DOIs
StatePublished - Jan 1 2018
Event21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: Sep 16 2018Sep 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11073 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
CountrySpain
CityGranada
Period9/16/189/20/18

Fingerprint

Ablation
Ultrasound
Magnetic resonance imaging
Physics
Ultrasonics
Monitoring
Simulation
Real-time
Acoustic properties
Sensor
Temperature
Sensors
Phantom
Temperature Distribution
Gold
Leverage
Spatial Resolution
Modality
Sensitivity analysis
Sensitivity Analysis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Audigier, C., Kim, Y., Ellens, N., & Boctor, E. (2018). Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation. In A. F. Frangi, G. Fichtinger, J. A. Schnabel, C. Alberola-López, & C. Davatzikos (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings (pp. 89-97). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11073 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00937-3_11

Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation : An MRI Validation. / Audigier, Chloé; Kim, Younsu; Ellens, Nicholas; Boctor, Emad.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. ed. / Alejandro F. Frangi; Gabor Fichtinger; Julia A. Schnabel; Carlos Alberola-López; Christos Davatzikos. Springer Verlag, 2018. p. 89-97 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11073 LNCS).

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

Audigier, C, Kim, Y, Ellens, N & Boctor, E 2018, Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation. in AF Frangi, G Fichtinger, JA Schnabel, C Alberola-López & C Davatzikos (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11073 LNCS, Springer Verlag, pp. 89-97, 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 9/16/18. https://doi.org/10.1007/978-3-030-00937-3_11
Audigier C, Kim Y, Ellens N, Boctor E. Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation. In Frangi AF, Fichtinger G, Schnabel JA, Alberola-López C, Davatzikos C, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Springer Verlag. 2018. p. 89-97. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-00937-3_11
Audigier, Chloé ; Kim, Younsu ; Ellens, Nicholas ; Boctor, Emad. / Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation : An MRI Validation. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. editor / Alejandro F. Frangi ; Gabor Fichtinger ; Julia A. Schnabel ; Carlos Alberola-López ; Christos Davatzikos. Springer Verlag, 2018. pp. 89-97 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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