Abstract
A three-axis scanning system enables precise and controlled motion along the X, Y, and Z axes, allowing systematic interrogation of physical quantities in three-dimensional space. By transforming discrete point measurements into continuous spatial datasets, such systems support accurate reconstruction, calibration, and characterization of complex fields and structures. Their high positional accuracy and repeatability make them essential tools in precision metrology, materials characterization, and field profiling applications.
Ultrasound neuromodulation has emerged as a powerful noninvasive technique for modulating neural activity using focused acoustic waves. Compared to electrical and optical methods, it offers superior spatial selectivity and deeper tissue penetration, making it particularly attractive for targeted brain stimulation. However, the efficacy and safety of ultrasound neuromodulation depend critically on precise knowledge of the acoustic field, as neural responses are highly sensitive to variations in pressure amplitude, intensity, and spatial distribution.
In this work, we present an automated calibration platform based on a three-axis scanning system for high-resolution mapping of ultrasound fields. The system integrates precise motion control with hydrophone-based measurements to capture detailed three-dimensional pressure distributions. Automation improves measurement consistency, reduces human error, and significantly enhances data acquisition efficiency. The resulting spatial maps enable accurate calibration of ultrasound transducers and provide quantitative validation of field characteristics.
This platform establishes a robust and reproducible framework for ultrasound field characterization, supporting rigorous experimental design in neuromodulation research. By ensuring reliable calibration and spatial accuracy, it contributes to improved safety, repeatability, and interpretability of ultrasound-based neural stimulation studies.
Document Type
Article
Class Name
Electrical and Systems Engineering Undergraduate Research
Language
English (en)
Date of Submission
4-19-2026
Recommended Citation
Ruan, Yiyang, "Three-Axis Scanning System: Ultrasound Calibration" (2026). Electrical and Systems Engineering Undergraduate and Graduate Research. 53.
https://openscholarship.wustl.edu/eseundergraduate_research/53