Portable low-cost magnetic resonance imaging
Author(s)
Cooley, Clarissa Zimmerman
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Lawrence L. Wald.
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Purpose: As the premiere modality for brain imaging, MRI could find wider applicability if lightweight, portable systems were available for siting in unconventional locations such as intensive care units (ICUs), physician offices, surgical suites, ambulances, emergency rooms, sports facilities, or rural healthcare sites. Methods: A truly portable (<100kg) proof-of-concept MRI scanner has been constructed and validated, which replaces conventional gradient encoding with a rotating lightweight, cryogen-free, low-field magnet. When rotated about the object, an inhomogeneous magnetic field pattern is used as a rotating Spatial Encoding Magnetic field (rSEM) to create generalized projections and encode the iteratively reconstructed 2D images. Multiple receive channels are used to disambiguate the non-bijective encoding field. Results: The system is validated with experimental images of 2D test phantoms. Similar to other non-linear field encoding schemes, the spatial resolution is position dependent with blurring in the center, but this will be improved with modifications to the magnet design. Conclusion: This novel MRI scanner demonstrates the potential for portability by simultaneously relaxing the magnet homogeneity criteria and eliminating gradient coils. This new architecture and encoding scheme shows convincing proof of concept images that are expected to be further improved with refinement of the calibration and methodology.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 143-153).
Date issued
2014Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.