Document Detail


Polarization encoding as a novel approach to MRI.
MedLine Citation:
PMID:  20005138     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In magnetic resonance imaging (MRI), there have been three basic techniques to encode the spatial origin of the signals, i.e. Fourier and radio frequency encoding and the use of sensitivity information of sensor arrays. In this paper, we introduce a new encoding method, which we call polarization encoding. The method utilizes sets of polarizing fields with various spatial profiles; it is tailored for MRI at ultra-low fields (ULF MRI). In ULF MRI, signals from a prepolarized sample are typically detected using an array of SQUID (superconducting quantum interference device) sensors at microtesla fields. The prepolarization is achieved with a field of the order of 10-100mT preceding the signal acquisition. In polarization encoding, the prepolarizing field is varied in a way to gain additional information about the sample. The method may also prove useful for modalities that in the absence of any precession aim to image the DC magnetization profile of a sample.
Authors:
Jaakko O Nieminen; Martin Burghoff; Lutz Trahms; Risto J Ilmoniemi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-11-18
Journal Detail:
Title:  Journal of magnetic resonance (San Diego, Calif. : 1997)     Volume:  202     ISSN:  1096-0856     ISO Abbreviation:  J. Magn. Reson.     Publication Date:  2010 Feb 
Date Detail:
Created Date:  2010-02-03     Completed Date:  2010-04-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9707935     Medline TA:  J Magn Reson     Country:  United States    
Other Details:
Languages:  eng     Pagination:  211-6     Citation Subset:  IM    
Copyright Information:
Copyright 2009 Elsevier Inc. All rights reserved.
Affiliation:
Helsinki University of Technology, Department of Biomedical Engineering and Computational Science, P.O. Box 2200, FI-02015 TKK, Finland. jaakko.nieminen@tkk.fi
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Computer Simulation
Electromagnetic Fields
Fourier Analysis
Humans
Image Interpretation, Computer-Assisted
Linear Models
Magnetic Resonance Imaging / methods*
Phantoms, Imaging
Protons
Radio Waves
Chemical
Reg. No./Substance:
0/Protons

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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