Dr. Chloé Audigier Profile

Dr. Chloé Audigier

at Johns Hopkins Univ

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Publications (5)

Proceedings Article | 8 March 2019 Paper

Conformal radiofrequency ablation to validate ultrasound thermometry

Chloé Audigier, Younsu Kim, Jens Ziegle, Michael Friebe, Emad Boctor

Proceedings Volume 10951, 1095122 (2019) https://doi.org/10.1117/12.2512788

KEYWORDS: Ultrasonography, Radiofrequency ablation, Thermometry, Liver, Tumors, Diagnostics

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Proceedings Article | 5 October 2018 Paper

Simulation of high intensity focused ultrasound ablation to enable ultrasound thermal monitoring

Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad Boctor

Proceedings Volume 10576, 105762T (2018) https://doi.org/10.1117/12.2293770

KEYWORDS: Ultrasonography, Computer simulations, Wave propagation, Magnetic resonance imaging, Thermography, Thermal modeling, Thermometry, 3D modeling

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High Intensity Focused Ultrasound (HIFU) is a non-invasive ablative therapy. It is usually performed under MR monitoring, which provides reliable real-time thermal information to ensure a complete tumor ablation while preserving as much healthy tissue as possible. Unfortunately, many patients do not necessarily have access to this expensive and cumbersome cutting-edge technology, which is prohibitive for a widespread use of MRI to guide thermal ablation procedures. Ultrasound (US) is a promising low cost and portable alternative, that allows real-time monitoring and can easily be deployed outside hospitals. However, US-based thermometry alone is not robust enough for the monitoring of in-vivo tissue ablation, and its feasibility is demonstrated only on in-vitro cases for small range of temperatures, up to 50°C. Computational models can simulate the biophysical phenomena and mechanisms which govern this complex thermal therapy. The US wave propagation, the temperature evolution as well as the resulted necrotic lesion can be modeled. A method integrating those sources of information to intra-operative US data would allow to recover the accurate temperature in a wider range. Therefore, US thermometry could be improved and provide an inexpensive yet comprehensive method for intra-procedural monitoring of the ablative process through HIFU. In this paper, we propose to study the rise in temperature induced by high intensity US propagation in biological tissue, which is particularly difficult to simulate due to the complexity of the involved phenomena. The physics-based HIFU model simulates the nonlinear US propagation using a k-space model coupled with the heat propagation in biological tissue using a reaction-diffusion equation. We analyze numerically the model to evaluate its accuracy and related computational cost. Finally, our simulation approach is validated against MR thermometry, the gold-standard monitoring tool used in clinical setting. Three consecutive HIFU ablations were performed on a 2% agar and 2% silicon phantom using the Sonalleve V2 MR-HIFU system (Profound Medical, Toronto, Canada).

Proceedings Article | 13 April 2018 Open Access

Speed of sound reconstruction for HIFU ultrasound thermometry using an ultrasound element: simulation study (Withdrawal Notice)

Younsu Kim, Chloé Audigier, Nicholas Ellens, Emad Boctor

Proceedings Volume 10580, 1058013 (2018) https://doi.org/10.1117/12.2293141

KEYWORDS: Ultrasonography, Tissues, Error analysis, Thermometry, Acoustics, Computer simulations, Iterative methods, Optimization (mathematics), Medical imaging modalities, Temperature metrology

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Proceedings Article | 2 May 2017 Presentation

Speed of sound estimation for thermal monitoring using an active ultrasound element during liver ablation therapy (Conference Presentation)

Younsu Kim, Chloé Audigier, Austin Dillow, Alexis Cheng, Emad Boctor

Proceedings Volume 10139, 101390F (2017) https://doi.org/10.1117/12.2254453

KEYWORDS: Chemical elements, Error analysis, High power microwaves, Ultrasonography, Tissues, Liver, Transducers, Temperature metrology, Ultrasound tomography

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Proceedings Article | 3 March 2017 Paper

Computational modeling of radiofrequency ablation: evaluation on ex vivo data using ultrasound monitoring

Chloé Audigier, Younsu Kim, Austin Dillow, Emad Boctor

Proceedings Volume 10135, 1013525 (2017) https://doi.org/10.1117/12.2254986

KEYWORDS: Radiofrequency ablation, Ultrasonography, Data modeling, Computer simulations, Computational modeling, Liver cancer, Tissues, Blood vessels, Modeling, Error analysis, Liver, Ferroelectric materials, Temperature metrology, Tumors

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