Transcranial ultrasound simulations: A review

Angla, Célestine; Larrat, Benoît; Gennisson, Jean‐Luc; Chatillon, Sylvain

doi:10.1002/mp.15955

Cited by 19 publications

(10 citation statements)

References 104 publications

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“…In this way, it is possible to predict the pressure field, incorporate US thermal and nonthermal effects (Tyler K. Hornsby, Jakhmola, et al, 2023; Tyler K. Hornsby, Kashkooli, et al, 2023), and predict the biological effects on the tumor and surrounding structures. Particularly for more complex circumstances (such as brain surgery via the intact skull), extensive mathematical modeling is necessary to calculate the ultrasonic exposure parameters (Angla et al, 2023; Kyriakou et al, 2015). An overview of TUS propagation modeling can be found in (Huttunen et al, 2005), and a comparison of analytical, semi‐analytical and computational approaches is provided in (Kundu et al, 2010).…”

Section: Computational Models For Tus Applicationsmentioning

confidence: 99%

Ultrasound‐mediated nano‐sized drug delivery systems for cancer treatment: Multi‐scale and multi‐physics computational modeling

Kashkooli

Hornsby

Kolios

et al. 2023

WIREs Nanomed Nanobiotechnol

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Computational modeling enables researchers to study and understand various complex biological phenomena in anticancer drug delivery systems (DDSs), especially nano‐sized DDSs (NSDDSs). The combination of NSDDSs and therapeutic ultrasound (TUS), that is, focused ultrasound and low‐intensity pulsed ultrasound, has made significant progress in recent years, opening many opportunities for cancer treatment. Multiple parameters require tuning and optimization to develop effective DDSs, such as NSDDSs, in which mathematical modeling can prove advantageous. In silico computational modeling of ultrasound‐responsive DDS typically involves a complex framework of acoustic interactions, heat transfer, drug release from nanoparticles, fluid flow, mass transport, and pharmacodynamic governing equations. Owing to the rapid development of computational tools, modeling the different phenomena in multi‐scale complex problems involved in drug delivery to tumors has become possible. In the present study, we present an in‐depth review of recent advances in the mathematical modeling of TUS‐mediated DDSs for cancer treatment. A detailed discussion is also provided on applying these computational models to improve the clinical translation for applications in cancer treatment.This article is categorized under: Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease

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Section: Computational Models For Tus Applicationsmentioning

confidence: 99%

Ultrasound‐mediated nano‐sized drug delivery systems for cancer treatment: Multi‐scale and multi‐physics computational modeling

Kashkooli

Hornsby

Kolios

et al. 2023

WIREs Nanomed Nanobiotechnol

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“…To date, there is no definitive method for producing maps of acoustic properties (density, speed of sound, and attenuation) from CT or MRI data. Different approaches to producing these maps have been reviewed by Angla et al [6]. Acoustic maps derived from CT scans facilitated the development of procedures approved for use in clinic [20], but this process has been in a very specific set of conditions.…”

Section: Numerical Investigation On Mapping Functions Between Ct Scan...mentioning

confidence: 99%

“…Modeling transcranial ultrasound has been an intense research topic for the last 20 years. Angla et al recently presented a thorough and excellent review on this topic [6]. While several modeling approaches have been crossvalidated in simplified numerical settings [7], there are few to none open-accessible complete modeling suites that work in integration with neuronavigation systems to assist FUS-based neuromodulation experiments.…”

Section: Introductionmentioning

confidence: 99%

BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications

Pichardo¹

2023

Preprint

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BabelBrain is an open-source standalone graphic-user-interface application designed for studies of neuromodulation using transcranial focused ultrasound. It calculates the transmitted acoustic field in the brain tissue, taking into account the distortion effects caused by the skull barrier. The simulation is prepared using scans from magnetic resonance imaging (MRI) and, if available, computed tomography and zero-echo time MRI scans. It also calculates the thermal effects based on a given ultrasound regime, such as the total duration of exposure, the duty cycle, and acoustic intensity. The tool is designed to work in tandem with neuronavigation and visualization software, such as 3DSlicer. It uses image processing to prepare domains for ultrasound simulation and uses the Ba-belViscoFDTD library for transcranial modeling calculations. BabelBrain supports multiple GPU backends, including Metal, OpenCL, and CUDA, and works on all major operating systems including Linux, MacOS, and Windows. This tool is particularly optimized for Apple ARM64 systems, which are common in brain imaging research. The paper presents the modeling pipeline used in BabelBrain and a numerical study where different methods of acoustic properties mapping were tested to select the best method that can reproduce the transcranial pressure transmission efficiency reported in the literature.

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“…Most transcranial simulations are based on numerical methods, such as finite differences (Aubry et al 2003) or k-space (Jing et al 2012), especially since the development of the Matlab toolbox k-Wave (Treeby et al 2018) in 2010. These methods take into account many complex physical phenomenons and allow a heterogeneous description of the skull (Angla et al 2023a). However, they require a spatial step small enough to converge, making them quite slow and memory demanding.…”

Section: Introductionmentioning

confidence: 99%

New semi-analytical method for fast transcranial ultrasonic field simulation

Angla,

Chouh,

Mondou

et al. 2024

Phys. Med. Biol.

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To optimize and ensure the safety of ultrasound brain therapy, personalized transcranial ultrasound simulations are very useful. They allow to predict the pressure field, depending on the patient skull and probe position. Most transcranial ultrasound simulations are based on numerical methods which have a long computation time and a high memory usage. The goal of this study is to develop a new semi-analytical field computation method that combines realism and computation speed.Instead of the classic ray tracing, the ultrasonic paths are computed by time of flight minimization. Then the pressure field is computed using the pencil method. This method requires a smooth and homogeneous skull model. The simulation algorithm, so-called SplineBeam, was numerically validated, by comparison with existing solvers, and experimentally validated by comparison with hydrophone measured pressure fields through an ex vivo human skull.SplineBeam simulated pressure fields were close to the experimentally measured ones, with a focus position difference of the order of the positioning error and a maximum pressure difference lower than 6.02%. In addition, for those configurations, SplineBeam computation time was lower than another simulation software, k-Wave's, by two orders of magnitude, thanks to its capacity to compute the field only at the focal spot.These results show the potential of this new method to compute fast and realistic transcranial pressure fields. The combination of this two assets makes it a promising tool for real time transcranial pressure field prediction during ultrasound brain therapy interventions.

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Transcranial ultrasound simulations: A review

Cited by 19 publications

References 104 publications

Ultrasound‐mediated nano‐sized drug delivery systems for cancer treatment: Multi‐scale and multi‐physics computational modeling

Ultrasound‐mediated nano‐sized drug delivery systems for cancer treatment: Multi‐scale and multi‐physics computational modeling

BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications

New semi-analytical method for fast transcranial ultrasonic field simulation

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