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Methodologic considerations for spiral k‐space functional MRI
Author(s) -
Noll Douglas C.
Publication year - 1995
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850060207
Subject(s) - artifact (error) , spiral (railway) , computer science , blood oxygenation , compensation (psychology) , artificial intelligence , functional magnetic resonance imaging , computer vision , magnetic resonance imaging , k space , image (mathematics) , selection (genetic algorithm) , pattern recognition (psychology) , neuroscience , medicine , mathematics , radiology , biology , psychology , mathematical analysis , psychoanalysis
Magnetic resonance imaging has recently been developed as a tool to image brain function based on regional changes in blood oxygenation. In this article, we examine the methodologic considerations for functional brain mapping using the spiral k‐space acquisition technique. Gradient design and image reconstruction methods as well as considerations for the selection of imaging parameters are presented. Several sources of image artifacts, along with artifact compensation strategies, are examined. Functional maps of activation in primary motor cortex are usd to demonstrate the effect of image parameter selection and of artifact compensation procedures. These results demonstrate that the spiral k‐space acquisition technique is a rapid, flexible, and robust method for imaging brain activity.