2026-09-19T09:26:47Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1571832024-10-10T03:45:14Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
White, Jacob K.
Feld, Joseph W.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2024-10-09T18:26:51Z
2024-10-09T18:26:51Z
2024-09
2024-10-07T14:34:28.549Z
https://hdl.handle.net/1721.1/157183
Magnetic Resonance Imaging (MRI) is a powerful, safe imaging technique based on using magnetism to provide contrast between soft tissues. Portable, low-field MRI is a growing area that has already demonstrated value in both educational and clinical domains. Low-field MRI systems need to acquire data with sample rates in the tens of megahertz, which can make the data acquisition system the bulk of the overall cost of low-cost systems. This work presents the Streamoscope: an open-source data acquisition system designed for low-field MRI that streams two 14-bit resolution channels at 60 megasamples per second over USB-3 into Python. It is approximately $300 in parts, about a quarter of the price of the cheapest data acquisition system on the market that would work in our case study. The Streamoscope can stream full-sample-rate raw MRI data into a computer to be processed in Python, enabling real time imaging. The system has been validated by generating 2D images of a phantom on a system with an 8 MHz Larmor frequency.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Streamoscope: A Low-Cost, Open-Source, USB-3-Capable Streaming Data Acquisition System for Low-Field MRI
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="5c95af19-7cd6-4a63-a7b9-c4353f5a2264">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Title>Streamoscope: A Low-Cost, Open-Source, USB-3-Capable Streaming Data Acquisition System for Low-Field MRI</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2024-09</PublicationDate>
<Authors>
<Author>
<DisplayName>Feld, Joseph W.</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>https://rightsstatements.org/page/InC-EDU/1.0/</License>
<Abstract>Magnetic Resonance Imaging (MRI) is a powerful, safe imaging technique based on using magnetism to provide contrast between soft tissues. Portable, low-field MRI is a growing area that has already demonstrated value in both educational and clinical domains. Low-field MRI systems need to acquire data with sample rates in the tens of megahertz, which can make the data acquisition system the bulk of the overall cost of low-cost systems. This work presents the Streamoscope: an open-source data acquisition system designed for low-field MRI that streams two 14-bit resolution channels at 60 megasamples per second over USB-3 into Python. It is approximately $300 in parts, about a quarter of the price of the cheapest data acquisition system on the market that would work in our case study. The Streamoscope can stream full-sample-rate raw MRI data into a computer to be processed in Python, enabling real time imaging. The system has been validated by generating 2D images of a phantom on a system with an 8 MHz Larmor frequency.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>