Linked Life Data

18625573

Source:http://linkedlifedata.com/resource/pubmed/id/18625573

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-8-22
pubmed:abstractText
A novel approach for sampling k-space in a pure phase encoding imaging sequence is presented using the Single Point Imaging (SPI) technique. The sequence is optimised with respect to the achievable Signal-to-Noise ratio (SNR) for a given time interval via selective sparse k-space sampling, dictated by prior knowledge of the overall object of interest's shape. This allows dynamic processes featuring short T(2)( *) NMR signal to be more readily followed, in our case the absorption of moisture by a cereal-based wafer material. Further improvements in image quality are also shown via the use of complete sampling of k-space at the start or end of the series of imaging experiments; followed by subsequent use of this data for un-sampled k-space points as opposed to zero filling.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1096-0856
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
194
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
99-107
pubmed:dateRevised
2009-11-4
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Optimal k-space sampling for single point imaging of transient systems.
pubmed:affiliation
Department of Chemical Engineering, University of Cambridge, New Museums Site Pembroke Street, Cambridge CB23RA, UK.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies