The effects of k-space data undersampling and discontinuities in keyhole functional MRI.
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 square root 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.
Xiong
J
J
Research Imaging Center, The University of Texas Health Science Center at San Antonio, 78284-6240, USA.
Fox
P T
PT
Gao
J H
JH
D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003198:Computer Simulation; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods