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Content Provider | IEEE Xplore Digital Library |
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Author | Ji, J.X. Wright, S.M. |
Copyright Year | 2005 |
Description | Author affiliation: Dept. of Electr. Eng., Texas A&M Univ., College Station, TX (Ji, J.X.; Wright, S.M.) |
Abstract | Parallel imaging using multiple phased-array coils and receiver channels has become an effective approach to high-speed magnetic resonance imaging (MRI). To obtain high spatiotemporal resolution, the k-space is subsampled and later interpolated using multiple channel data. Higher subsampling factors result in faster image acquisition. However, the subsampling factors are upper-bounded by the number of parallel channels. Phase constraints have been previously proposed to overcome this limitation with some success. In this paper, we demonstrate that in certain applications it is possible to obtain acceleration factors potentially up to twice the channel numbers by using a real image constraint. Data acquisition and processing methods to manipulate and estimate of the image phase information are presented for improving image reconstruction. In-vivo brain MRI experimental results show that accelerations up to 6 are feasible with 4-channel data |
Starting Page | 735 |
Ending Page | 738 |
File Size | 401580 |
Page Count | 4 |
File Format | |
ISBN | 0780387414 |
DOI | 10.1109/IEMBS.2005.1616519 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-01-17 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Acceleration Image reconstruction Magnetic resonance imaging Coils Data acquisition Phase estimation Magnetic resonance Laboratories High-resolution imaging Spatiotemporal phenomena rapid imaging MRI parallel imaging phased-array imaging constrained image reconstruction |
Content Type | Text |
Resource Type | Article |
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