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Conference Papers Year : 2017

Numerical Study and Ex Vivo Assessment of HIFU Treatment Time Reduction through Optimization of Focal Point Trajectory

Abstract

Treatment time reduction is a key issue to expand the use of high intensity focused ultrasound (HIFU) surgery, especially for benign pathologies. This study aims at quantitatively assessing the potential reduction of the treatment time arising from moving the focal point during long pulses. In this context, the optimization of the focal point trajectory is crucial to achieve a uniform thermal dose repartition and avoid boiling. At first, a numerical optimization algorithm was used to generate efficient trajectories. Thermal conduction was simulated in 3D with a finite difference code and damages to the tissue were modeled using the thermal dose formula. Given an initial trajectory, the thermal dose field was first computed, then, making use of Pontryagin's maximum principle, the trajectory was iteratively refined. Several initial trajectories were tested. Then, an ex vivo study was conducted in order to validate the efficicency of the resulting optimized strategies. Single pulses were performed at 3MHz on fresh veal liver samples with an Echopulse and the size of each unitary lesion was assessed by cutting each sample along three orthogonal planes and measuring the dimension of the whitened area based on photographs. We propose a promising approach to significantly shorten HIFU treatment time: the numerical optimization algorithm was shown to provide a reliable insight on trajectories that can improve treatment strategies. The model must now be improved in order to take in vivo conditions into account and extensively validated.
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Dates and versions

hal-01272364 , version 1 (10-02-2016)

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A Grisey, S Yon, T Pechoux, Pauline Godillon-Lafitte, Véronique Letort. Numerical Study and Ex Vivo Assessment of HIFU Treatment Time Reduction through Optimization of Focal Point Trajectory. The 14th International Symposium on Therapeutic Ultrasound (ISTU), Apr 2014, Las Vegas, United States. ⟨10.1063/1.4977659⟩. ⟨hal-01272364⟩
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