Accelerated phase-cycled SSFP imaging with compressed sensing

Date
2015
Authors
Çukur, T.
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Source Title
IEEE Transactions on Medical Imaging
Print ISSN
0278-0062
Electronic ISSN
Publisher
Institute of Electrical and Electronics Engineers Inc.
Volume
34
Issue
1
Pages
107 - 115
Language
English
Type
Article
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Abstract

Balanced steady-state free precession (SSFP) imaging suffers from irrecoverable signal losses, known as banding artifacts, in regions of large B0 field inhomogeneity. A common solution is to acquire multiple phase-cycled images each with a different frequency sensitivity, such that the location of banding artifacts are shifted in space. These images are then combined to alleviate signal loss across the entire field-of-view. Although high levels of artifact suppression are viable using a large number of images, this is a time costly process that limits clinical utility. Here, we propose to accelerate individual acquisitions such that the overall scan time is equal to that of a single SSFP acquisition. Aliasing artifacts and noise are minimized by using a variable-density random sampling pattern in k-space, and by generating disjoint sampling patterns for separate acquisitions. A sparsity-enforcing method is then used for image reconstruction. Demonstrations on realistic brain phantom images, and in vivo brain and knee images are provided. In all cases, the proposed technique enables robust SSFP imaging in the presence of field inhomogeneities without prolonging scan times. © 2014 IEEE.

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Keywords
Banding artifact, Compressed sensing, Magnetic resonance imaging (MRI), Phase cycling, Random undersampling, Steady - state free precession (SSFP), Variable density, Compressed sensing, Signal reconstruction, Banding artifact, Phase cycling, Random under samplings, Steady state free precessions, Variable density, Magnetic resonance imaging, Acceleration, Artifact reduction, Brain size, Density, Gray matter, Image quality, Image reconstruction, Imaging, Neuroimaging, Nuclear magnetic resonance imaging, Phantom, Radiological procedures, Signal noise ratio, Steady state free precession imaging, White matter, Algorithm, Anatomy and histology, Image processing, Knee, Procedures, Algorithms, Artifacts, Brain, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Phantoms, Signal - To - Noise Ratio
Citation
Published Version (Please cite this version)