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The effects of K-space data undersampling and discontinuities in keyhole functional MRI
Journal article   Peer reviewed

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

Jinhu Xiong, Peter T Fox and Jia-Hong Gao
Magnetic resonance imaging, Vol.17(1), pp.109-119
1999
DOI: 10.1016/S0730-725X(98)00147-7
PMID: 9888404

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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 , 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.
Keyhole Functional MRI Algorithms Functional imaging

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