MRI monitoring of temperature and displacement for transcranial focus ultrasound applications.

Acoustic radiation force imaging Brain imaging Magnetic resonance guided high intensity focused ultrasound Magnetic resonance thermometry Proton resonance frequency shift

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
01 01 2020
Historique:
received: 22 05 2019
revised: 27 09 2019
accepted: 28 09 2019
pubmed: 10 10 2019
medline: 28 11 2020
entrez: 10 10 2019
Statut: ppublish

Résumé

Transcranial focus ultrasound applications applied under MRI-guidance benefit from unrivaled monitoring capabilities, allowing the recording of real-time anatomical information and biomarkers like the temperature rise and/or displacement induced by the acoustic radiation force. Having both of these measurements could allow for better targeting of brain structures, with improved therapy monitoring and safety. We investigated the use of a novel MRI-pulse sequence described previously in Bour et al., (2017) to quantify both the displacement and temperature changes under various ultrasound sonication conditions and in different regions of the brain. The method was evaluated in vivo in a non-human primate under anesthesia using a single-element transducer (f = 850 kHz) in a setting that could mimic clinical applications. Acquisition was performed at 3 T on a clinical imaging system using a modified single-shot gradient echo EPI sequence integrating a bipolar motion-sensitive encoding gradient. Four slices were acquired sequentially perpendicularly or axially to the direction of the ultrasound beam with a 1-Hz update frequency and an isotropic spatial resolution of 2-mm. A total of twenty-four acquisitions were performed in three different sets of experiments. Measurement uncertainty of the sequence was investigated under different acoustic power deposition and in different regions of the brain. Acoustic simulation and thermal modeling were performed and compared to experimental data. The sequence simultaneously provides relevant information about the focal spot location and visualization of heating of brain structures: 1) The sequence localized the acoustic focus both along as well as perpendicular to the ultrasound direction. Tissue displacements ranged from 1 to 2 μm. 2) Thermal rise was only observed at the vicinity of the skull. Temperature increase ranged between 1 and 2 °C and was observed delayed relative the sonication due to thermal diffusion. 3) The fast frame rate imaging was able to highlight magnetic susceptibility artifacts related to breathing, for the most caudal slices. We demonstrated that respiratory triggering successfully restored the sensitivity of the method (from 0.7 μm to 0.2 μm). 4) These results were corroborated by acoustic simulations. The current rapid, multi-slice acquisition and real-time implementation of temperature and displacement visualization may be useful in clinical practices. It may help defining operational safety margins, improving therapy precision and efficacy. Simulations were in good agreement with experimental data and may thus be used prior treatment for procedure planning.

Sections du résumé

BACKGROUND
Transcranial focus ultrasound applications applied under MRI-guidance benefit from unrivaled monitoring capabilities, allowing the recording of real-time anatomical information and biomarkers like the temperature rise and/or displacement induced by the acoustic radiation force. Having both of these measurements could allow for better targeting of brain structures, with improved therapy monitoring and safety.
METHOD
We investigated the use of a novel MRI-pulse sequence described previously in Bour et al., (2017) to quantify both the displacement and temperature changes under various ultrasound sonication conditions and in different regions of the brain. The method was evaluated in vivo in a non-human primate under anesthesia using a single-element transducer (f = 850 kHz) in a setting that could mimic clinical applications. Acquisition was performed at 3 T on a clinical imaging system using a modified single-shot gradient echo EPI sequence integrating a bipolar motion-sensitive encoding gradient. Four slices were acquired sequentially perpendicularly or axially to the direction of the ultrasound beam with a 1-Hz update frequency and an isotropic spatial resolution of 2-mm. A total of twenty-four acquisitions were performed in three different sets of experiments. Measurement uncertainty of the sequence was investigated under different acoustic power deposition and in different regions of the brain. Acoustic simulation and thermal modeling were performed and compared to experimental data.
RESULTS
The sequence simultaneously provides relevant information about the focal spot location and visualization of heating of brain structures: 1) The sequence localized the acoustic focus both along as well as perpendicular to the ultrasound direction. Tissue displacements ranged from 1 to 2 μm. 2) Thermal rise was only observed at the vicinity of the skull. Temperature increase ranged between 1 and 2 °C and was observed delayed relative the sonication due to thermal diffusion. 3) The fast frame rate imaging was able to highlight magnetic susceptibility artifacts related to breathing, for the most caudal slices. We demonstrated that respiratory triggering successfully restored the sensitivity of the method (from 0.7 μm to 0.2 μm). 4) These results were corroborated by acoustic simulations.
CONCLUSIONS
The current rapid, multi-slice acquisition and real-time implementation of temperature and displacement visualization may be useful in clinical practices. It may help defining operational safety margins, improving therapy precision and efficacy. Simulations were in good agreement with experimental data and may thus be used prior treatment for procedure planning.

Identifiants

pubmed: 31597085
pii: S1053-8119(19)30827-4
doi: 10.1016/j.neuroimage.2019.116236
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116236

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Valéry Ozenne (V)

IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France; Univ. Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France; INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France. Electronic address: valery.ozenne@u-bordeaux.fr.

Charlotte Constans (C)

Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, Univ Paris Diderot, Sorbonne Paris Cité, Paris, 75012, France. Electronic address: charlotte.constans@gmail.com.

Pierre Bour (P)

IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France; Univ. Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France; INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France. Electronic address: pierre.bour@ihu-liryc.fr.

Mathieu D Santin (MD)

Institut du Cerveau et de la Moelle épinière - ICM, Sorbonne Université, Inserm U 1127, CNRS UMR, Paris, 7225, France; Institut du Cerveau et de la Moelle épinière, Centre de NeuroImagerie de Recherche - CENIR, Paris, France. Electronic address: mathieu.santin@icm-institute.org.

Romain Valabrègue (R)

Institut du Cerveau et de la Moelle épinière - ICM, Sorbonne Université, Inserm U 1127, CNRS UMR, Paris, 7225, France; Institut du Cerveau et de la Moelle épinière, Centre de NeuroImagerie de Recherche - CENIR, Paris, France. Electronic address: romain.valabregue@upmc.fr.

Harry Ahnine (H)

Institut du Cerveau et de la Moelle épinière - ICM, Sorbonne Université, Inserm U 1127, CNRS UMR, Paris, 7225, France. Electronic address: harry.ahnine@gmail.com.

Pierre Pouget (P)

Institut du Cerveau et de la Moelle épinière - ICM, Sorbonne Université, Inserm U 1127, CNRS UMR, Paris, 7225, France. Electronic address: pierre.pouget@upmc.fr.

Stephane Lehéricy (S)

Institut du Cerveau et de la Moelle épinière - ICM, Sorbonne Université, Inserm U 1127, CNRS UMR, Paris, 7225, France; Institut du Cerveau et de la Moelle épinière, Centre de NeuroImagerie de Recherche - CENIR, Paris, France. Electronic address: stephane.lehericy@upmc.fr.

Jean-François Aubry (JF)

Physics for Medicine Paris, Inserm, ESPCI Paris, CNRS, PSL Research University, Univ Paris Diderot, Sorbonne Paris Cité, Paris, 75012, France. Electronic address: jean-francois.aubry@espci.fr.

Bruno Quesson (B)

IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France; Univ. Bordeaux, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France; INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, U1045, Bordeaux, France. Electronic address: bruno.quesson@u-bordeaux.fr.

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