Document Detail


Frequency response of multipoint chemical shift-based spectral decomposition.
MedLine Citation:
PMID:  20882625     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To provide a framework for characterizing the frequency response of multipoint chemical shift based species separation techniques.
MATERIALS AND METHODS: Multipoint chemical shift based species separation techniques acquire complex images at multiple echo times and perform maximum likelihood estimation to decompose signal from different species into separate images. In general, after a nonlinear process of estimating and demodulating the field map, these decomposition methods are linear transforms from the echo-time domain to the chemical-shift-frequency domain, analogous to the discrete Fourier transform (DFT). In this work we describe a technique for finding the magnitude and phase of chemical shift decomposition for input signals over a range of frequencies using numerical and experimental modeling and examine several important cases of species separation.
RESULTS: Simple expressions can be derived to describe the response to a wide variety of input signals. Agreement between numerical modeling and experimental results is very good.
CONCLUSION: Chemical shift-based species separation is linear, and therefore can be fully described by the magnitude and phase curves of the frequency response. The periodic nature of the frequency response has important implications for the robustness of various techniques for resolving ambiguities in field inhomogeneity.
Authors:
Ethan K Brodsky; Venkata V Chebrolu; Walter F Block; Scott B Reeder
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of magnetic resonance imaging : JMRI     Volume:  32     ISSN:  1522-2586     ISO Abbreviation:  J Magn Reson Imaging     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-30     Completed Date:  2011-02-02     Revised Date:  2013-07-03    
Medline Journal Info:
Nlm Unique ID:  9105850     Medline TA:  J Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  943-52     Citation Subset:  IM    
Affiliation:
Department of Radiology, University of Wisconsin, Madison, Wisconsin 53705-2275, USA. brodskye@cae.wisc.edu
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MeSH Terms
Descriptor/Qualifier:
Adipose Tissue / chemistry*
Algorithms
Body Water / chemistry*
Fourier Analysis
Humans
Image Processing, Computer-Assisted / methods*
Magnetic Resonance Imaging / methods*
Models, Chemical
Models, Statistical
Models, Theoretical
Phantoms, Imaging
Silicones / chemistry
Grant Support
ID/Acronym/Agency:
1 R01 CA116380-04/CA/NCI NIH HHS; 1UL1RR025011/RR/NCRR NIH HHS; EB010384-01/EB/NIBIB NIH HHS; R01 CA116380-04/CA/NCI NIH HHS; R01 DK083380-01A1/DK/NIDDK NIH HHS; R01 DK0883380-01/DK/NIDDK NIH HHS; RC1 EB010384-01/EB/NIBIB NIH HHS; UL1 RR025011-01/RR/NCRR NIH HHS
Chemical
Reg. No./Substance:
0/Silicones
Comments/Corrections

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