Highlights
- •CSR technique allowed for reduction of truncation artifacts in cervical spine MR images.
- •CSR technique reduced striped artifacts without prolongation of the scan time.
- •CSR technique can reduce truncation artifacts while maintaining sharpness, in contrast to windowing with an apodizing filter.
- •The results of this preliminary study warrant further investigations of the utility of CSR in patients.
Abstract
Compressed sensing-based reconstruction (CSR) is a new magnetic resonance (MR) image
reconstruction method based on the compressed sensing (CS) technique. CSR suppresses
ringing artifacts from truncated k-space sampling by estimating the high spatial frequency
information required to support the acquired k-space data. CSR is intended to replace
the existing zero-fill interpolation (ZIP) reconstruction. We investigated the usefulness
of the CSR technique by obtaining sagittal T2-weighted images of the cervical spine
and phantom images using CSR or ZIP. Our results indicated that the CSR technique
reduces truncation artifacts compared to ZIP without prolonging the scan time or impairing
image sharpness.
Keywords
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Article info
Publication history
Published online: April 12, 2019
Accepted:
April 11,
2019
Received in revised form:
April 6,
2019
Received:
November 27,
2018
Identification
Copyright
© 2019 Elsevier Inc. All rights reserved.
