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Accelerating sequences in the presence of metal by exploiting the spatial distribution of off‐resonance
Author(s) -
Smith Matthew R.,
Artz Nathan S.,
Koch Kevin M.,
Samsonov Alexey,
Reeder Scott B.
Publication year - 2014
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25087
Subject(s) - imaging phantom , acceleration , aliasing , monte carlo method , computer science , sampling (signal processing) , sensitivity (control systems) , noise (video) , signal to noise ratio (imaging) , magnetic resonance imaging , resonance (particle physics) , physics , acoustics , nuclear magnetic resonance , optics , artificial intelligence , mathematics , undersampling , detector , electronic engineering , statistics , telecommunications , radiology , medicine , classical mechanics , image (mathematics) , engineering , particle physics
Purpose To demonstrate feasibility of exploiting the spatial distribution of off‐resonance surrounding metallic implants for accelerating multispectral imaging techniques. Theory and Methods Multispectral imaging (MSI) techniques perform time‐consuming independent three‐dimensional acquisitions with varying radio frequency offsets to address the extreme off‐resonance from metallic implants. Each off‐resonance bin provides a unique spatial sensitivity that is analogous to the sensitivity of a receiver coil and, therefore, provides a unique opportunity for acceleration. Fully sampled MSI was performed to demonstrate retrospective acceleration. A uniform sampling pattern across off‐resonance bins was compared with several adaptive sampling strategies using a total hip replacement phantom. Monte Carlo simulations were performed to compare noise propagation of two of these strategies. With a total knee replacement phantom, positive and negative off‐resonance bins were strategically sampled with respect to the B 0 field to minimize aliasing. Reconstructions were performed with a parallel imaging framework to demonstrate retrospective acceleration. Results An adaptive sampling scheme dramatically improved reconstruction quality, which was supported by the noise propagation analysis. Independent acceleration of negative and positive off‐resonance bins demonstrated reduced overlapping of aliased signal to improve the reconstruction. Conclusion This work presents the feasibility of acceleration in the presence of metal by exploiting the spatial sensitivities of off‐resonance bins. Magn Reson Med 72:1658–1667, 2014. © 2014 Wiley Periodicals, Inc.