Targeting accuracy of transcranial magnetic resonance–guided high-intensity focused ultrasound brain therapy: a fresh cadaver model

Chauvet, Dorian; Marsac, Laurent; Pernot, Mathieu; Boch, Anne‐Laure; Guillevin, Rémy; Salameh, Najat; Souris, Line; Darrasse, Luc; Fink, Mathias; Tanter, Mickaël; Aubry, Jean‐François

doi:10.3171/2013.1.jns12559

Cited by 64 publications

(56 citation statements)

References 31 publications

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“…This is in agreement with previous studies which have demonstrated that good spatial targeting of HIFU can be obtained via simulated TR using relatively coarse spatial sampling. 11,30 Homogeneous testing demonstrated total convergence across all metrics by 3.5 PPW, which is to be expected given the behavior of the PML and BLI, discussed in Sec. III.…”

Section: Convergence Testing In 3dsupporting

confidence: 62%

“…For high-intensity thermal applications, model-driven TR may be combined with MRI thermometry for treatment verification. Chauvet et al 11 confirmed the potential for model-driven TR-based focusing inside the human head to millimeter precision, verified by MRI thermometry. Marquet et al 12 showed that model-driven TR is capable of restoring 90% of the peak pressure that can be obtained with gold-standard hydrophone based methods when focusing through an ex vivo skull bone.…”

Section: Introductionmentioning

confidence: 85%

“…[9][10][11][12] In finite difference methods, partial derivatives are calculated using a linear combination of function values at neighboring grid points. The finite difference approximations are derived by combining local Taylor series expansions truncated to a fixed number of terms.…”

Section: Numerical Methods For Ultrasound Propagationmentioning

confidence: 99%

“…This scheme is described in detail by Strikwerda,14 and is widely used to simulate acoustic wave propagation, including in simulated TR. 11,12 Unless stated otherwise, the CFL number was set to 0.3, one-dimensional (1D) tests were carried out on a spatial grid of 4096 grid points, and 2D tests on a 1024 Â 1024 grid. Frequency filtered Kronecker delta functions, like that shown in Fig.…”

Section: A Overviewmentioning

confidence: 99%

“…11,12 Recently a k-space corrected, pseudospectral time domain (PSTD) numerical scheme was used in modeldriven TR and shown to give comparable accuracy. 13 Both FDTD and PSTD schemes use consistent approximations to TABLE II.…”

Section: Introductionmentioning

confidence: 99%

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Accurate simulation of transcranial ultrasound propagation for ultrasonic neuromodulation and stimulation

Robertson

Cox

Jaroš

et al. 2017

The Journal of the Acoustical Society of America

119

108

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Non-invasive, focal neurostimulation with ultrasound is a potentially powerful neuroscientific tool that requires effective transcranial focusing of ultrasound to develop. Time-reversal (TR) focusing using numerical simulations of transcranial ultrasound propagation can correct for the effect of the skull, but relies on accurate simulations. Here, focusing requirements for ultrasonic neurostimulation are established through a review of previously employed ultrasonic parameters, and consideration of deep brain targets. The specific limitations of finite-difference time domain (FDTD) and k-space corrected pseudospectral time domain (PSTD) schemes are tested numerically to establish the spatial points per wavelength and temporal points per period needed to achieve the desired accuracy while minimizing the computational burden. These criteria are confirmed through convergence testing of a fully simulated TR protocol using a virtual skull. The k-space PSTD scheme performed as well as, or better than, the widely used FDTD scheme across all individual error tests and in the convergence of large scale models, recommending it for use in simulated TR. Staircasing was shown to be the most serious source of error. Convergence testing indicated that higher sampling is required to achieve fine control of the pressure amplitude at the target than is needed for accurate spatial targeting.

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Section: Convergence Testing In 3dsupporting

confidence: 62%

Section: Introductionmentioning

confidence: 85%

Section: Numerical Methods For Ultrasound Propagationmentioning

confidence: 99%

Section: A Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Accurate simulation of transcranial ultrasound propagation for ultrasonic neuromodulation and stimulation

Robertson

Cox

Jaroš

et al. 2017

The Journal of the Acoustical Society of America

119

108

View full text Add to dashboard Cite

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Systematic review of phase aberration correction algorithms for transcranial focused ultrasound

Wang,

Xu,

Cheng

2024

iRADIOLOGY

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Transcranial focused ultrasound (tFUS) is an emerging modality with strong potential for non‐invasively treating brain disorders. However, the inhomogeneity and complex structure of the skull induce substantial phase aberrations and pressure attenuation; these can distort and shift the acoustic focus, thus hindering the efficiency of tFUS therapy. To achieve effective treatments, phased array transducers combined with aberration correction algorithms are commonly implemented. The present report aims to provide a comprehensive review of the current methods used for tFUS phase aberration correction. We first searched the PubMed and Web of Science databases for studies on phase aberration correction algorithms, identifying 54 articles for review. Relevant information, including the principles of algorithms and refocusing performances, were then extracted from the selected articles. The phase correction algorithms involved two main steps: acoustic field estimation and transmitted pulse adjustment. Our review identified key benchmarks for evaluating the effectiveness of these algorithms, each of which was used in at least three studies. These benchmarks included pressure and intensity, positioning error, focal region size, peak sidelobe ratio, and computational efficiency. Algorithm performances varied under different benchmarks, thus highlighting the importance of application‐specific algorithm selection for achieving optimal tFUS therapy outcomes. The present review provides a thorough overview and comparison of various phase correction algorithms, and may offer valuable guidance to tFUS researchers when selecting appropriate phase correction algorithms for specific applications.

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The reduction in treatment efficiency at high acoustic powers during MR‐guided transcranial focused ultrasound thalamotomy for Essential Tremor

et al. 2018

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Targeting accuracy of transcranial magnetic resonance–guided high-intensity focused ultrasound brain therapy: a fresh cadaver model

Abstract: Despite its limits (temperature, vascularization), the human cadaver model is effective for studying the accuracy of MRgHIFU brain therapy. With the 1-MHz system investigated here, there is millimetric accuracy.

Cited by 64 publications

References 31 publications

Accurate simulation of transcranial ultrasound propagation for ultrasonic neuromodulation and stimulation

Accurate simulation of transcranial ultrasound propagation for ultrasonic neuromodulation and stimulation

Systematic review of phase aberration correction algorithms for transcranial focused ultrasound

The reduction in treatment efficiency at high acoustic powers during MR‐guided transcranial focused ultrasound thalamotomy for Essential Tremor

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