Linked Life Data

16455402

Source:http://linkedlifedata.com/resource/pubmed/id/16455402

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2006-2-3
pubmed:abstractText
We consider the problem of super-resolution reconstruction (SRR) in MRI. Subpixel-shifted MR images were taken in several fields of view (FOVs) to reconstruct a high-resolution image. A novel algorithm is presented. The algorithm can be applied locally and guarantees perfect reconstruction in the absence of noise. Results that demonstrate resolution improvement are given for phantom studies (mathematical model) as well as for MRI studies of a phantom carried out with a GE clinical scanner. The method raises questions that are discussed in the last section of the paper. Open questions should be answered in order to apply this method for clinical purposes.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0730-725X
pubmed:author
pubmed:issnType
Print
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
133-54
pubmed:dateRevised
2011-3-8
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Resolution enhancement in MRI.
pubmed:affiliation
Computer Science, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel 39040.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural