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SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space

Open access
Lustig, Michael, Pauly, John M.·2010·Magnetic Resonance in Medicine

Abstract

A new approach to autocalibrating, coil‐by‐coil parallel imaging reconstruction, is presented. It is a generalized reconstruction framework based on self‐consistency. The reconstruction problem is formulated as an optimization that yields the most consistent solution with the calibration and acquisition data. The approach is general and can accurately reconstruct images from arbitrary k‐space sampling patterns. The formulation can flexibly incorporate additional image priors such as off‐resonance correction and regularization terms that appear in compressed sensing. Several iterative strategies to solve the posed reconstruction problem in both image and k‐space domain are presented. These are based on a projection over convex sets and conjugate gradient algorithms. Phantom and in vivo studies demonstrate efficient reconstructions from undersampled Cartesian and spiral trajectories. Reconstructions that include off‐resonance correction and nonlinear ℓ 1‐wavelet regularization are also demonstrated. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.

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Metadata

Authors
Lustig, M., & Pauly, J. M.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
2010-06
Volume
64
Issue
2
Pages
457-471
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2047544187
Cited by
822
References
1
FWCI
27.24
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space. https://app.cochat.ai/papers/10.1002/mrm.22428
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Lustig, M., & Pauly, J. M. (2010). SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.22428

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