Document Detail


Sampling errors in projection reconstruction MRI.
MedLine Citation:
PMID:  9727950     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Certain kinds of artifacts have been reported when projection reconstruction (PR) techniques are used in magnetic resonance imaging (MRI). These will occur if the spacing between samples in k-space is too large. It has been suggested that PR requires finer k-space sampling than does two-dimensional Fourier reconstruction, and that the usual Nyquist criterion is inadequate. This paper examines this problem, with the conclusion that the Nyquist sampling criterion is adequate to avoid aliasing effects, provided that a band-limited interpolation is used in k-space. This procedure is motivated by analysis of the PR technique as it is commonly implemented in x-ray computed tomography. A related problem is shown to be the construction of a filter function in k-space that gives proper weight to the low spatial frequencies. It is shown that a simple ¿k¿ filter does not satisfy this requirement, and a procedure for deriving a suitable filter is described. The methods are tested in simulated PR profiles of circular disks of two different sizes. It is shown that the combination of the two new methods gives virtually perfect reconstruction for disks up to the size implied by the Nyquist limit.
Authors:
P M Joseph
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  40     ISSN:  0740-3194     ISO Abbreviation:  Magn Reson Med     Publication Date:  1998 Sep 
Date Detail:
Created Date:  1998-12-14     Completed Date:  1998-12-14     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  460-6     Citation Subset:  IM    
Affiliation:
Department of Radiology, University of Pennsylvania, Philadelphia, USA. joseph@rad.upenn.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artifacts
Fourier Analysis
Humans
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging*
Phantoms, Imaging
Selection Bias
Grant Support
ID/Acronym/Agency:
R01-HL-48869/HL/NHLBI NIH HHS; R01-NS-32789/NS/NINDS NIH HHS

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


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