The effects of k-space data undersampling and discontinuities in keyhole functional MRI

Jinhu Xiong, Peter T. Fox, Jia Hong Gao

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

The effects of the k-space data undersampling and the discontinuities associated with the keyhole approach in functional magnetic resonance imaging (fMRI) have been addressed. Undersampling of high k-space data increases the high spatial-frequency noise by a factor of m( 1/2 ), where m is the number of images sharing the high k-space data. However, the effects of the noise can be effectively removed using clustered-pixel statistical analysis. The amplitude and phase discontinuities may result in an increase in the low spatial-frequency noise level, which has no impact on specificity and only a minimal impact on sensitivity. Although dramatically reducing acquisition time and preserving the spatial resolution of functional magnetic resonance imaging, the keyhole technique may have a limited capability in detecting highly focal activations.

Original languageEnglish (US)
Pages (from-to)109-119
Number of pages11
JournalMagnetic Resonance Imaging
Volume17
Issue number1
DOIs
StatePublished - Feb 1 1999

Keywords

  • Algorithms
  • Functional MRI
  • Functional imaging
  • Keyhole

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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