Title
Improving the spatial resolution of magnetic resonance inverse imaging via the blipped-CAIPI acquisition scheme.
Abstract
Using simultaneous acquisition from multiple channels of a radio-frequency (RF) coil array, magnetic resonance inverse imaging (InI) achieves functional MRI acquisitions at a rate of 100ms per whole-brain volume. InI accelerates the scan by leaving out partition encoding steps and reconstructs images by solving under-determined inverse problems using RF coil sensitivity information. Hence, the correlated spatial information available in the coil array causes spatial blurring in the InI reconstruction. Here, we propose a method that employs gradient blips in the partition encoding direction during the acquisition to provide extra spatial encoding in order to better differentiate signals from different partitions. According to our simulations, this blipped-InI (bInI) method can increase the average spatial resolution by 15.1% (1.3mm) across the whole brain and from 32.6% (4.2mm) in subcortical regions, as compared to the InI method. In a visual fMRI experiment, we demonstrate that, compared to InI, the spatial distribution of bInI BOLD response is more consistent with that of a conventional echo-planar imaging (EPI) at the level of individual subjects. With the improved spatial resolution, especially in subcortical regions, bInI can be a useful fMRI tool for obtaining high spatiotemporal information for clinical and cognitive neuroscience studies.
Year
DOI
Venue
2014
10.1016/j.neuroimage.2013.12.037
NeuroImage
Keywords
Field
DocType
Inverse imaging,Parallel imaging,Blip,CAIPIRINHA
Spatial analysis,Computer vision,Computer science,Signal-to-noise ratio,Electromagnetic coil,Radiofrequency coil,Inverse problem,Artificial intelligence,Neuroimaging,Image resolution,Encoding (memory)
Journal
Volume
ISSN
Citations 
91
1053-8119
0
PageRank 
References 
Authors
0.34
18
6
Name
Order
Citations
PageRank
Wei-Tang Chang1727.68
Kawin Setsompop223820.09
Jyrki Ahveninen38915.15
John W Belliveau425638.29
Thomas Witzel537428.70
Fa-Hsuan Lin624624.33