| dc.contributor.advisor | White, Jacob K. | |
| dc.contributor.author | Feld, Joseph W. | |
| dc.date.accessioned | 2024-10-09T18:26:51Z | |
| dc.date.available | 2024-10-09T18:26:51Z | |
| dc.date.issued | 2024-09 | |
| dc.date.submitted | 2024-10-07T14:34:28.549Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/157183 | |
| dc.description.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. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Streamoscope: A Low-Cost, Open-Source, USB-3-Capable Streaming Data Acquisition System for Low-Field MRI | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |