Volume 94, Issue 3 pp. 1060-1071
RESEARCH ARTICLE

Optimization of MR acoustic radiation force imaging (MR-ARFI) for human transcranial focused ultrasound

Morteza Mohammadjavadi

Morteza Mohammadjavadi

Department of Radiology, Stanford University, Stanford, California, USA

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Ryan T. Ash

Ryan T. Ash

Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA

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Gary H. Glover

Gary H. Glover

Department of Radiology, Stanford University, Stanford, California, USA

Department of Psychology, Stanford University, Stanford, California, USA

Department of Electrical Engineering, Stanford University, Stanford, California, USA

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Kim Butts Pauly

Corresponding Author

Kim Butts Pauly

Department of Radiology, Stanford University, Stanford, California, USA

Department of Electrical Engineering, Stanford University, Stanford, California, USA

Correspondence

Kim Butts Pauly, Department of Radiology, and Electrical Engineering, by courtesy, Stanford University, Lucas MRI Center, Mail Code 5488, 1201 Welch Road, Stanford, CA, USA.

Email: [email protected]

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First published: 06 May 2025

Gary H. Glover and Kim Butts Pauly contributed equally to this work.

Abstract

Purpose

MR 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 applications. Implementing MR-ARFI in the human brain has been hindered by (1) sensitivity to subject motion, and (2) insufficient SNR at low (<1.0 MPa) ultrasound pressures. The purpose of this study was to optimize human MR-ARFI to allow reduced ultrasound exposure while at the same time being robust to bulk and physiological motion.

Methods

We developed a novel timeseries approach to MR-ARFI with a single-shot spiral-out MRI sequence and correction for respiratory and cardiac motion artifacts. An MR-compatible four-element 500 kHz focused ultrasound transducer was coupled to the head and targeted to 60 mm depth in five participants. During spiral scans, two 6 ms focused ultrasound pulses (0.5–0.9 MPa in situ) were delivered in on–off blocks of 25 time frames.

Results

Our method generates ARFI maps that with correction are largely immune to bulk and pulsatile brain motion with reduced scan time (80 s per acquisition). Robust ARFI signals were observed at the expected target in four human participants, using low intensity ultrasound that does not produce significant tissue heating, confirmed both by simulation and MR thermometry.

Conclusion

Single shot spiral MR-ARFI is motion robust in human applications, provides reduction in ultrasound exposure, and reduced scan time, enabling iteration for image-guided targeting. This provide persuasive proof-of-principle that MR-ARFI can be used as a tool to guide ultrasound-based precision neural circuit therapeutics.

CONFLICT OF INTEREST STATEMENT

No potential conflict of interest was reported by the authors.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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