Document Detail


MRI fast tree log scanning with helical undersampled projection acquisitions.
MedLine Citation:
PMID:  12591574     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Magnetic Resonance Imaging opens an alternative way to analyze wood structures using a non-destructive technology. It provides high resolution, compound-based contrast manipulation and increased data acquisition flexibility. The technique is particularly useful for tree logs, since they present several characteristics that can be used to reduce the long scan time. This study proposes a method that takes advantage of the log cylindrical symmetry, acquiring transverse 1-D projections with a helical and undersampled pattern. Linear interpolation is used to estimate the skipped data and slice images are reconstructed by filtered backprojection. The sequence is improved using selective multi-pass scanning, without major variations of the scan time. Computer simulations and experimental results show that the proposed technique can increase the scan speed by a factor of 6, while maintaining the ability to identify typical tree log characteristics.
Authors:
Ignacio Contreras; Andres Guesalga; M Paulina Fernandez; Marcelo Guarini; Pablo Irarrazaval
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Magnetic resonance imaging     Volume:  20     ISSN:  0730-725X     ISO Abbreviation:  Magn Reson Imaging     Publication Date:  2002 Dec 
Date Detail:
Created Date:  2003-02-19     Completed Date:  2003-05-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8214883     Medline TA:  Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  781-7     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
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MeSH Terms
Descriptor/Qualifier:
Computer Simulation
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging / methods*
Trees
Wood*

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


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