
Electronic Theses and Dissertations
Date
2025
Document Type
Thesis
Degree Name
Master of Science
Department
Biomedical Engineering
Committee Chair
Carl Herickhoff
Committee Member
Amy Dejongh Curry
Committee Member
Brent Hoffmeister
Abstract
Ischemic strokes entail a blockage of vessels in the brain and account for 87% of all strokes. When these blockages occur in large cerebral arteries, there is a 95% post-stroke mortality rate. Given these statistics, rapid identification and treatment is crucial for positive patient outcomes. Transcranial Doppler (TCD) is a noninvasive ultrasound technique that transmits ultrasonic pulses through the skull to assess arterial flow velocities to determine whether any large vessel occlusions (LVOs) are present. However, identifying both an acoustic window that allows ultrasonic pulses to propagate well and the angle to align the beam with large vessels proves to be challenging. In this work, we aim to develop an experimental approach to identify and characterize the acoustic window. Initial simulations of piston transducers were done using Field II in a homogenous medium. These simulations were then later used in comparison to simulations of ultrasound propagation through the skull. Another experiment used a phased-array probe over a skull bisection to acquire data and quantitatively assess the severity of phase aberration vs. position. These results provide baseline simulations and calculations to accurately characterize and identify the acoustic window. This work will inform the design of a custom transcranial array probe for rapid detection of severe stroke.
Library Comment
Notes
Open access.
Recommended Citation
Christian, Taylor Nickole, "Transcranial Ultrasound Investigation Toward Rapid Stroke Detection" (2025). Electronic Theses and Dissertations. 3770.
https://digitalcommons.memphis.edu/etd/3770
Comments
Data is provided by the student.