Title | ||
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K-space reconstruction of magnetic resonance inverse imaging (K-InI) of human visuomotor systems. |
Abstract | ||
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Using simultaneous measurements from multiple channels of a radio-frequency coil array, magnetic resonance inverse imaging (InI) can achieve ultra-fast dynamic functional imaging of the human with whole-brain coverage and a good spatial resolution. Mathematically, the InI reconstruction is a generalization of parallel MRI (pMRI), which includes image space and k-space reconstructions. Because of the auto-calibration technique, the pMRI k-space reconstruction offers more robust and adaptive reconstructions compared to the image space algorithm. Here we present the k-space InI (K-InI) reconstructions to reconstruct the highly accelerated BOLD-contrast fMRI data of the human brain to achieve 100 ms temporal resolution. Simulations show that K-InI reconstructions can offer 3D image reconstructions at each time frame with reasonable spatial resolution, which cannot be obtained using the previously proposed image space minimum-norm estimates (MNE) or linear constraint minimum variance (LCMV) spatial filtering reconstructions. The InI reconstructions of in vivo BOLD-contrast fMRI data during a visuomotor task show that K-InI offer 3 to 5 fold more sensitive detection of the brain activation than MNE and a comparable detection sensitivity to the LCMV reconstructions. The group average of the high temporal resolution K-InI reconstructions of the hemodynamic response also shows a relative onset timing difference between the visual (first) and somatomotor (second) cortices by 400 ms (600 ms time-to-peak timing difference). This robust and sensitive K-InI reconstruction can be applied to dynamic MRI acquisitions using a large-n coil array to improve the spatiotemporal resolution. |
Year | DOI | Venue |
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2010 | 10.1016/j.neuroimage.2009.11.016 | NeuroImage |
Keywords | DocType | Volume |
Event-related,fMRI,InI,Visual,MRI,Neuroimaging,K-InI,Inverse solution,MEG,EEG,Electroencephalography,Magnetoencephalography,Latency,Timing,Rapid imaging,Auto-calibration | Journal | 49 |
Issue | ISSN | Citations |
4 | 1053-8119 | 9 |
PageRank | References | Authors |
0.70 | 8 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fa-Hsuan Lin | 1 | 246 | 24.33 |
Thomas Witzel | 2 | 374 | 28.70 |
Wei-Tang Chang | 3 | 72 | 7.68 |
Kevin Wen-Kai Tsai | 4 | 49 | 4.60 |
Yen-Hsiang Wang | 5 | 36 | 4.52 |
Wen-Jui Kuo | 6 | 163 | 20.42 |
John W Belliveau | 7 | 256 | 38.29 |