An electronically steered, wearable transcranial doppler ultrasound system
Name
845314430-MIT.pdf
Description
Full printable version
Size
13.27 MB
Format
Adobe PDF
Checksum (MD5)
468fb16d95be3c8ecd7237595507b61f
Author(s)
Pietrangelo, Sabino Joseph
Advisor(s)
Charles G. Sodini and Hae-Seung Lee.
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
This thesis details the design of a transcranial Doppler (TCD) ultrasound system to measure cerebral blood flow velocity (CBFV) at the middle cerebral artery (MCA). TCD sonography has been clinically indicated in a variety of neurovascular diagnostic applications. Acceptance of conventional TCD methods, however, has been primarily impeded by several constraints, including restrictive system form factors, measurement reliability concerns, and the need for a highly-skilled operator. The goal of this work is to reduce the effects of such limitations through the development of a highly-compact, wearable TCD ultrasound system for autonomous CBFV measurement. A first-generation, eight channel printed circuit board prototype system has been designed, fabricated, and experimentally tested. Characterization of the prototype system using a Doppler flow phantom resulted in a normalized root-mean-square error of < 3.5% over the range of expected in vivo MCA flow velocities. Extension of the initial prototype to higher channel count systems and the development of phased array beamformation and algorithmic vessel location are also examined in this work. The emergence of simple, robust, and non-invasive neurovascular diagnostic methods presents an enormous opportunity for the advancement of neurovascular monitoring, particularly in applications where - due to restrictions in current diagnostic modalities - standard monitoring procedures have not yet been established.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 137-144).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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