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dc.contributor.advisorWhite, Jacob K.
dc.contributor.authorFeld, Joseph W.
dc.date.accessioned2024-10-09T18:26:51Z
dc.date.available2024-10-09T18:26:51Z
dc.date.issued2024-09
dc.date.submitted2024-10-07T14:34:28.549Z
dc.identifier.urihttps://hdl.handle.net/1721.1/157183
dc.description.abstractMagnetic 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.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleStreamoscope: A Low-Cost, Open-Source, USB-3-Capable Streaming Data Acquisition System for Low-Field MRI
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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