Robust deep learning estimation of cortical bone porosity from MR T1-weighted images for individualized transcranial focused ultrasound planning DOI

Matthieu Dagommer,

Mohammad Daneshzand,

Aapo Nummemnaa

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Transcranial focused ultrasound (tFUS) is an emerging neuromodulation approach that has been demonstrated in animals but difficult to translate humans because of acoustic attenuation and scattering the skull. Optimal dose delivery requires subject-specific skull porosity estimates which traditionally done using CT. We propose a deep learning (DL) estimation from T1-weighted MRI images removes need for radiation-inducing CT scans.

Language: Английский

Evaluation of synthetically generated computed tomography for use in transcranial focused ultrasound procedures DOI
Han Liu, Michelle K. Sigona, Thomas J. Manuel

et al.

Journal of Medical Imaging, Journal Year: 2023, Volume and Issue: 10(05)

Published: Sept. 22, 2023

Transcranial focused ultrasound (tFUS) is a therapeutic method that focuses sound through the skull to small region noninvasively and often under magnetic resonance imaging (MRI) guidance. CT used estimate acoustic properties vary between individual skulls enable effective focusing during tFUS procedures, exposing patients potentially harmful radiation. A parameters in without need for desirable.

Language: Английский

Citations

9
Low-intensity focused ultrasound for human neuromodulation DOI
Wynn Legon, Andrew Strohman

Nature Reviews Methods Primers, Journal Year: 2024, Volume and Issue: 4(1)

Published: Dec. 19, 2024

Language: Английский

Citations

3
Real-Time Acoustic Simulation Framework for tFUS: A Feasibility Study Using Navigation System DOI Creative Commons

Tae Young Park,

Heekyung Koh, Wonhye Lee

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 282, P. 120411 - 120411

Published: Oct. 14, 2023

Transcranial focused ultrasound (tFUS), in which acoustic energy is on a small region the brain through skull, non-invasive therapeutic method with high spatial resolution and depth penetration. Image-guided navigation has been widely utilized to visualize location of focus cranial cavity. However, this system often inaccurate because significant aberrations caused by skull. Therefore, simulations using numerical solver have adopted compensate for inaccuracy. Although simulation can predict intracranial pressure field, real-time application during tFUS treatment almost impossible due computational cost. In study, we propose neural network-based framework test its feasibility implementing simulation-guided (SGN) system. Real-time performed 3D conditional generative adversarial network (3D-cGAN) model featuring residual blocks multiple loss functions. This was trained conventional program (i.e., k-Wave). The SGN then implemented integrating image-guided proposed provide results frame rate 5 Hz about 0.2 s), including all processing times. validation (3D-cGAN vs. k-Wave), average peak error 6.8 ± 5.5%, position 5.3 7.7 mm. experimental skull phantom actual measurement), 4.5%, 6.6 These demonstrate that field according transducer placement real-time.

Language: Английский

Citations

7
Ultra-short time-echo based ray tracing for transcranial focused ultrasound aberration correction in human calvaria DOI
Thomas J. Manuel, Thomas Bancel, Thomas Tiennot

et al.

Physics in Medicine and Biology, Journal Year: 2024, Volume and Issue: unknown

Published: May 22, 2024

Magnetic resonance guided transcranial focused ultrasound holds great promises for treating neurological disorders. This technique relies on skull aberration correction which requires computed tomography (CT) scans of the patients. Recently, ultra-short time-echo (UTE) magnetic (MR) sequences have unleashed MRI potential to reveal internal bone structures. In this study, we measure efficacy using UTE images. Approach. We compare CT based four skulls and two targets a clinical device (Exablate Neuro, Insightec, Israel). also evaluate performance custom ray tracing algorithm both estimates acoustic properties these against manufacturer's proprietary software. Main results. estimated maps in Hounsfield units (HU) had mean absolute error 242 ± 20 HU (n=4). The were sufficiently accurate improve pressure at target (no correction: 0.44 0.10, 0.79 0.05, manufacturer CT: 0.80 0.05), confinement ratios 0.45 0.81 targeting 1.06 0.42 mm, 0.30 0.23 0.32 0.22) (n=8 all values). When CT, our performed slightly better than with (UTE: 0.84 0.04), 0.17 0.15). Significance. These 3D measurements suggest that could replace case MR minimal reduction will avoid ionizing radiation exposure patients reduce procedure time cost. .

Language: Английский

Citations

2
Optimization of MR-ARFI for Human Transcranial Focused Ultrasound DOI Open Access

Morteza Mohammadjavadi,

Ryan T. Ash, Gary H. Glover

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Abstract Magnetic resonance acoustic radiation force imaging (MR-ARFI) is an exceptionally promising technique to non-invasively confirm targeting accuracy and estimate exposure of low-intensity transcranial focused ultrasound stimulation. MR-ARFI uses magnetic field motion encoding gradients visualize the MR phase changes generated by microscopic displacements at focus. Implementing in human central nervous system has been hindered 1) distortion caused subject motion, 2) insufficient signal-to-noise ratio low (<1.0 MPa) pressures. The purpose this study was optimize allow reduced while same time being robust bulk physiological motion. We demonstrate that a series single-shot spiral acquisitions, triggering on off blocks, provides ARFI maps with correction are largely immune pulsatile brain Furthermore, approach allows for reduction per slice improving robustness scan time. beam can be visualized 80 second our protocol, enabling iteration image-guided targeting. demonstrated signals expected target 4 participants. Our results provide persuasive proof-of-principle used as tool guide ultrasound-based precision neural circuit therapeutics.

Language: Английский

Citations

2
Generating Patient-Specific Acoustic Simulations for Transcranial Focused Ultrasound Procedures Based on Optical Tracking Information DOI Creative Commons
Michelle K. Sigona, Thomas J. Manuel, M. Anthony Phipps

et al.

IEEE Open Journal of Ultrasonics Ferroelectrics and Frequency Control, Journal Year: 2023, Volume and Issue: 3, P. 146 - 156

Published: Jan. 1, 2023

Optical tracking is a real-time transducer positioning method for transcranial focused ultrasound (tFUS) procedures, but the predicted focus from optical typically does not incorporate subject-specific skull information. Acoustic simulations can estimate pressure field when propagating through cranium rely on accurately replicating of and in simulated space. Here, we develop characterize accuracy workflow that creates simulation grids based information neuronavigated phantom with without transmission an ex vivo cap. The software pipeline could replicate geometry tFUS procedure within limits system (transcranial target registration error (TRE): 3.9±0.7 mm). free-field by had low Euclidean distance errors 0.5±0.1 1.2±0.4 mm cap, respectively, some skull-specific effects were captured simulation. However, TRE informed was 4.6 ± 0.2, which as large or greater than focal spot size used many systems. By updating position using original offset, reduced to 1.1 0.4 mm. Our study describes treatment planning, evaluates its accuracy, demonstrates approach MR-acoustic radiation force imaging improve dosimetry. Overall, our helps acoustic exposure, highlights need image feedback increase

Language: Английский

Citations

6
Ultrasound neuromodulation: planning and validating treatments DOI Creative Commons
Michelle K. Sigona, Charles F. Caskey

Current Opinion in Behavioral Sciences, Journal Year: 2024, Volume and Issue: 59, P. 101430 - 101430

Published: July 29, 2024

Significant strides have been made in the translation of ultrasound neuromodulation for use humans. These advancements pivotal overcoming challenges associated with delivering to brain through skull. This undertaking has necessitated development specialized hardware, integration precise image guidance systems, and extensive research improve methods best plan enact transcranial focused (FUS) therapy. To validate optimize FUS procedures, various devised transmit, simulate, measure pressure fields. Here, we cover latest breakthroughs technology, a particular focus on efforts undertaken therapeutic interventions, ensuring their safety efficacy across diverse range subjects.

Language: Английский

Citations

2
Transcranial ultrasound simulation with uncertainty estimation DOI Creative Commons
Antonio Stanziola, José A. Pineda‐Pardo, Bradley E. Treeby

et al.

JASA Express Letters, Journal Year: 2023, Volume and Issue: 3(5)

Published: May 1, 2023

Transcranial ultrasound simulations are increasingly used to predict in situ exposure parameters for therapies the brain. However, there can be considerable uncertainty estimating acoustic medium properties of skull and brain from computed tomography (CT) images. This paper shows how resulting simulated field predicted a computationally efficient way using linear propagation. Results representative transcranial simulation focused bowl transducer at 500 kHz show good agreement with unbiased estimates obtained Monte Carlo.

Language: Английский

Citations

4
Model-based navigation of transcranial focused ultrasound neuromodulation in humans: Application to targeting the amygdala and thalamus DOI Creative Commons
Mohammad Daneshzand, Bastien Guérin, Parker Kotlarz

et al.

Brain stimulation, Journal Year: 2024, Volume and Issue: 17(4), P. 958 - 969

Published: July 1, 2024

Transcranial focused ultrasound (tFUS) neuromodulation has shown promise in animals but is challenging to translate humans because of the thicker skull that heavily scatters waves.

Language: Английский

Citations

1
Systematic review of phase aberration correction algorithms for transcranial focused ultrasound DOI Creative Commons
Mingyu Wang, Zhouyang Xu, Bingbing Cheng

et al.

iRadiology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

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

Language: Английский

Citations

1