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Magnetic Resonance in Medicine
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Parallel imaging with phase scrambling

Authors: Maxim Zaitsev; Gerrit Schultz; Juergen Hennig; Rolf Gruetter; Daniel Gallichan;

Parallel imaging with phase scrambling

Abstract

PurposeMost existing methods for accelerated parallel imaging in MRI require additional data, which are used to derive information about the sensitivity profile of each radiofrequency (RF) channel. In this work, a method is presented to avoid the acquisition of separate coil calibration data for accelerated Cartesian trajectories.MethodsQuadratic phase is imparted to the image to spread the signals in k‐space (aka phase scrambling). By rewriting the Fourier transform as a convolution operation, a window can be introduced to the convolved chirp function, allowing a low‐resolution image to be reconstructed from phase‐scrambled data without prominent aliasing. This image (for each RF channel) can be used to derive coil sensitivities to drive existing parallel imaging techniques. As a proof of concept, the quadratic phase was applied by introducing an offset to the x2 − y2 shim and the data were reconstructed using adapted versions of the image space–based sensitivity encoding and GeneRalized Autocalibrating Partially Parallel Acquisitions algorithms.ResultsThe method is demonstrated in a phantom (1 × 2, 1 × 3, and 2 × 2 acceleration) and in vivo (2 × 2 acceleration) using a 3D gradient echo acquisition.ConclusionPhase scrambling can be used to perform parallel imaging acceleration without acquisition of separate coil calibration data, demonstrated here for a 3D‐Cartesian trajectory. Further research is required to prove the applicability to other 2D and 3D sampling schemes. Magn Reson Med 73:1407–1419, 2015. © 2014 Wiley Periodicals, Inc.

Country
Switzerland
Keywords

CIBM-AIT, Phantoms, Imaging, Brain, Reproducibility of Results, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Imaging, Three-Dimensional, Radiology Nuclear Medicine and imaging, Image Interpretation, Computer-Assisted, Humans, Algorithms

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    15
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
Green
bronze