Real-time Feedback of B0 Shimming at Ultra High Field MRI

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URI: http://hdl.handle.net/10900/83819
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-838193
http://dx.doi.org/10.15496/publikation-25209
Dokumentart: Dissertation
Date: 2018-07-30
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Biologie
Advisor: Henning, Anke (Dr.)
Day of Oral Examination: 2018-07-05
DDC Classifikation: 500 - Natural sciences and mathematics
Keywords: Kernspintomografie
Other Keywords:
B0 Shimming
License: Publishing license including print on demand
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Abstract:

Magnetic resonance imaging(MRI) is moving towards higher and higher field strengths. After 1.5T MRI scanners became commonplace, 3T scanners were introduced and once 3T scanners became commonplace, ultra high field (UHF) scanners were introduced. UHF scanners typically refer to scanners with a field strength of 7T or higher. The number of sites that utilise UHF scanners is slowly growing and the first 7T MRI scanners were recently CE certified for clinical use. Although UHF scanners have the benefit of higher signal-to-noise ratio (SNR), they come with their own challenges. One of the many challenges is the problem of inhomogeneity of the main static magnetic field(B0 field). This thesis addresses multiple aspects associated with the problem of B0 inhomogeneity. The process of homogenising the field is called "shimming". The focus of this thesis is on active shimming where extra shim coils drive DC currents to generate extra magnetic fields superimposed on the main magnetic field to correct for inhomogeneities. In particular, we looked at the following issues: algorithms for calculating optimal shim currents; global static shimming using very high order/degree spherical harmonic-based (VHOS) coils; dynamic slice-wise shimming using VHOS coils compared to a localised multi-coil array shim system; B0 field monitoring using an NMR field camera; characterisation of the shim system using a field camera; and designing a controller based on the shim system model for real-time feedback.

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