Open Access Te Herenga Waka-Victoria University of Wellington
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A PXIe Based Scalable MRI Spectrometer for Inhomogeneous Imaging

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posted on 2022-11-03, 01:54 authored by Guang Yang

Traditional MRI plays a significant role in clinic diagnoses for providing versatility of examinations. However, the high cost and complexity of the MRI system presents a challenge for most people to access. Low-field MRI with low cost and simplicity could be used in particular sites, e.g., on the ambulance or in the rural area, which would benefit more people. A spectrometer is one of the critical parts of a low-field MRI system. Even though the commercial spectrometers are available, they are usually expensive and their closed proprietary designs frustrate adaptation to new techniques or experiments.

To tackle these challenges, a scalable PXIe based spectrometer with a multichannel transceiver was developed for MRI research and development. Key features of the spectrometer include the use of a quad-channel digital receiver for parallel imaging, a dual-channel transmitter for spatial encoding, e.g., TRASE, a high-bandwidth protocol for data transactions and an Ethernet-based user interface.

A 2D MRI system was built to verify the spectrometer. In addition to the spectrometer, an RF coil system containing a solenoid coil for excitation and a receive coil array for receiving, detuning circuits, and pre-amplifiers were built. NMR magnetometry was used to measure the field map of a Halbach magnet. Based on the 2D imaging system, parallel MR signals were captured and verified.

History

Copyright Date

2022-11-03

Date of Award

2022-11-03

Publisher

Te Herenga Waka—Victoria University of Wellington

Rights License

CC BY 4.0

Degree Discipline

Electronic Engineering

Degree Grantor

Te Herenga Waka—Victoria University of Wellington

Degree Level

Doctoral

Degree Name

Doctor of Philosophy

Victoria University of Wellington Unit

Engineering at Victoria

ANZSRC Socio-Economic Outcome code

241002 Medical instruments

ANZSRC Type Of Activity code

3 Applied research

Victoria University of Wellington Item Type

Awarded Doctoral Thesis

Language

en_NZ

Victoria University of Wellington School

School of Engineering and Computer Science

Advisors

Dykstra, Robin; Teal, Paul