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Magnetic Resonance Signal Processing
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology.
2002 (English)Other (Other (popular scientific, debate etc.))
Abstract [en]

This thesis is concerned with the analysis of Nuclear Magnetic Resonance (NMR) signals.First a brief overview on the physics behind NMR is given and then the recent non-parametric adaptive filter bank methods 2D Capon and 2D CAPES are evaluated and compared with the two well known parametric methods HSVD and HTLS. This is done both with simulated and in-vivo data. HSVD and HTLS are proven to be superior to the non-parametric methods for the simulated data but the non-parametric methods have other advantages and should therefore still be considered as an alternative for in-vivo NMR analysis.The second part of the thesis presents an extension of the 2D CAPES method to allow for certain a priori information on the data, which is quite common in NMR applications. Experiments on simulated data shows that the inclusion of a priori information clearly improves the performance of the 2D CAPES method.

Place, publisher, year, pages
Uppsala University School of Engineering, Uppsala , 2002. , 34 p.
Series
UPTEC, ISSN 1401-5757 ; F 02 075
Keyword [en]
nuclear magnetic resonance, NMR, 2D Capon, 2D CAPES, HSVD, HTLS, damped sinusoids, signal processing
Identifiers
URN: urn:nbn:se:uu:diva-23299OAI: oai:DiVA.org:uu-23299DiVA: diva2:51073
Note
Master ThesisAvailable from: 2007-01-26 Created: 2007-01-26

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Selén, Yngve

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