SMS-HSL: Simultaneous multislice aliasing separation exploiting hankel subspace learning

Suhyung Park, Jaeseok Park

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Purpose: To develop a novel, simultaneous multislice reconstruction method that exploits Hankel subspace learning (SMS-HSL) for aliasing separation in the slice direction. Methods: An SMS signal model with the Hankel-structured matrix was proposed. To efficiently suppress interslice leakage artifacts from a signal subspace perspective, a null space was learned from the reference data combined over all slices other than a slice of interest using singular value decomposition. Given the fact that the Hankel-structured matrix is rank-deficient while the magnitude between the reference and its estimate is similar in k-space, the SMS-HSL was reformulated as a constrained optimization problem with both low-rank and magnitude priors. SMS signals were projected onto a slice-specific subspace while undesired signals were eliminated using the null space operator. The simulations and experiments were performed with increasing multiband factors up to 6 using the SMS-HSL and the split slice-GRAPPA. Results: Compared with the split slice-GRAPPA, the SMS-HSL shows superior performance in suppressing aliasing artifacts and noises at high multiband factors even with: insufficient reference signals, a small number of coils, and a short distance between aliasing voxels. Conclusion: We successfully demonstrated the effectiveness of the SMS-HSL over the split slice-GRAPPA for aliasing separation in the slice direction. Magn Reson Med 78:1392–1404, 2017.

Original languageEnglish
Pages (from-to)1392-1404
Number of pages13
JournalMagnetic Resonance in Medicine
Volume78
Issue number4
DOIs
Publication statusPublished - 2017 Oct

Bibliographical note

Funding Information:
Biomedical Imaging and Engineering Lab, Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Grant sponsor: Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science; Grant sponsor: ICT & Future Planning; Grant number: 2016M3C7A1913844. *Correspondence to: J. Park, Ph.D., Biomedical Imaging and Engineering Lab. Department of Biomedical Engineering, Sungkyunkwan University, 2066, Seobu-Ro, Jangan-Gu, Suwon, Republic of Korea, Tel: 182-31-299-4351. E-mail: jaeseokpark.biel@gmail.com Received 29 December 2015; revised 28 September 2016; accepted 4 October 2016 DOI 10.1002/mrm.26527 Published online 8 November 2016 in Wiley Online Library (wileyonlinelibrary. com).

Funding Information:
We acknowledge Dr. Martin Blaimer for providing SMS data and experimental protocols. This research was supported by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2016M3C7A1913844).

Publisher Copyright:
© 2016 International Society for Magnetic Resonance in Medicine

Keywords

  • Hankel matrix
  • low rank
  • magnetic resonance imaging
  • parallel imaging
  • simultaneous multislice

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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