Generating Patient-Specific Acoustic Simulations for Transcranial Focused Ultrasound Procedures Based on Optical Tracking Information

• Published in: IEEE Open Journal of Ultrasonics, Ferroelectrics, and Frequency Control Vol. 3; pp. 146 - 156
• Main Authors: Sigona, Michelle K., Manuel, Thomas J., Phipps, M. Anthony, Boroujeni, Kianoush Banaie, Treuting, Robert Louie, Womelsdorf, Thilo, Caskey, Charles F.
• Format: Journal Article
• Language: English
• Published: United States IEEE 2023
• Subjects: Acoustic simulations; Acoustics; Adaptive optics; Neuromodulation; Optical feedback; Optical imaging; optical tracking; Phantoms; Simulation; transcranial focused ultrasound; Transducers; Ultrasonic imaging; ultrasound neuromodulation; Acoustic simulations; ultrasound neuromodulation; transcranial focused ultrasound; optical tracking
• ISSN: 2694-0884
• DOI: 10.1109/OJUFFC.2023.3318560

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