The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Point spread function mapping with parallel imaging techniques and high acceleration factors: Fast, robust, and flexible method for echo‐planar imaging distortion correction
Open accessAbstract
Echo‐planar imaging (EPI) is an ultrafast magnetic resonance (MR) imaging technique prone to geometric distortions. Various correction techniques have been developed to remedy these distortions. Here improvements of the point spread function (PSF) mapping approach are presented, which enable reliable and fully automated distortion correction of echo‐planar images at high field strengths. The novel method is fully compatible with EPI acquisitions using parallel imaging. The applicability of parallel imaging to further accelerate PSF acquisition is shown. The possibility of collecting PSF data sets with total acceleration factors higher than the number of coil elements is demonstrated. Additionally, a new approach to visualize and interpret distortions in the context of various imaging and reconstruction methods based on the PSF is proposed. The reliable performance of the PSF mapping technique is demonstrated on phantom and volunteer scans at field strengths of up to 4 T. Magn Reson Med 52:1156–1166, 2004. © 2004 Wiley‐Liss, Inc.
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SENSE: Sensitivity encoding for fast MRI
Pruessmann, K. P., Weiger, M., Scheidegger, M. B., & Boesiger, P. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199911)42:5<952::aid-mrm16>3.0.co;2-s · Cited by 6,251
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
Griswold, M. A., Jakob, P. M., Heidemann, R. M., Nittka, M., Jellus, V., Wang, J., Kiefer, B., & Haase, A. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10171 · Cited by 5,303
Roemer, P. B., Edelstein, W. A., Hayes, C. E., Souza, S. P., & Mueller, O. M. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160203 · Cited by 2,322
Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays
Sodickson, D. K., & Manning, W. J. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910380414 · Cited by 2,142
Multi-planar image formation using NMR spin echoes
Mansfield, P. (1977) · Journal of Physics C: Solid State Physics · doi:10.1088/0022-3719/10/3/004 · Cited by 1,813
Correction for geometric distortion in echo planar images from B 0 field variations
Jezzard, P., & Balaban, R. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340111 · Cited by 1,421
B-spline signal processing. I. Theory
Unser, M., Aldroubi, A., & Eden, M. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.193220 · Cited by 940
Interpolation revisited [medical images application]
Thevenaz, P., Blu, T., & Unser, M. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.875199 · Cited by 842
B-spline signal processing. II. Efficiency design and applications
Unser, M., Aldroubi, A., & Eden, M. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.193221 · Cited by 641
B-SPLINE SIGNAL PROCESSING: PART I-THEORY
Unser, M. A., Aldroubi, A., & Eden, M. (1993) · Cited by 626
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Metadata
- Authors
- Zaitsev, M., Hennig, J., & Speck, O.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2004-10-26
- Volume
- 52
- Issue
- 5
- Pages
- 1156-1166
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W1998694073
- Cited by
- 349
- References
- 23
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- bronze
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