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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hoge, W.S. Hong Pan Huan Tan Stern, E. Kraft, R.A. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Radiology, Brigham and Women's Hospital, 75 Francis St., Boston, MA, USA (Hoge, W.S.; Hong Pan; Stern, E.) || School of Biomed. Eng. and Sci., Virginia Tech-Wake Forest University, Winston-Salem, NC, USA (Huan Tan; Kraft, R.A.) |
| Abstract | Echo planar imaging (EPI) is used widely for neurological fMRI studies. However, in regions of magnetic field inhomogeneity—particularly near the nasal sinuses—EPI suffers from signal dropout. Z-shim methods are one approach to recover this lost signal, where a z gradient is employed prior to the EPI readout echo train to counter phase accumulation in the signal dropout region. Typically, two separate images of the same region are acquired under different z-shim gradient strengths, and then combined into a composite image. Single-shot z-shim methods give improved temporal resolution, but with a cost of longer echo trains, which increases geometric distortion. Here, we combine parallel MR imaging (pMRI) with a single-shot z-shim method to achieve short echo train lengths. We also employ temporal encoding to counter Nyquist ghost effects, which improves the pMRI calibration. We demonstrate the method with phantom images, and evaluate its suitability for fMRI applications. |
| Starting Page | 1565 |
| Ending Page | 1568 |
| File Size | 155363 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441273 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2011.5872700 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-03-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetic resonance imaging Encoding Acceleration Image reconstruction Calibration Coils single-shot EPI Parallel imaging susceptibility artifact correction |
| Content Type | Text |
| Resource Type | Article |
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