Evaluation of a novel reconstruction method based on the compressed sensing technique: Application to cervical spine MR imaging

Yuki Takato; Hirofumi Hata; Yusuke Inoue; Keiji Matsunaga; Toshimasa Hara; Shotaro Komi; Ai Nakajima

doi:10.1016/j.clinimag.2019.04.005

Evaluation of a novel reconstruction method based on the compressed sensing technique: Application to cervical spine MR imaging

Clin Imaging. 2019 Jul-Aug:56:140-145. doi: 10.1016/j.clinimag.2019.04.005. Epub 2019 Apr 12.

Authors

Yuki Takato¹, Hirofumi Hata², Yusuke Inoue³, Keiji Matsunaga⁴, Toshimasa Hara⁵, Shotaro Komi⁶, Ai Nakajima⁷

Affiliations

¹ Department of Radiology, Kitasato University Hospital, Sagamihara, Kanagawa, Japan. Electronic address: ytakato@kitasato-u.ac.jp.
² Department of Radiology, Kitasato University Hospital, Sagamihara, Kanagawa, Japan. Electronic address: kmri@kitasato-u.ac.jp.
³ Department of Diagnostic Radiology, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
⁴ Department of Diagnostic Radiology, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan. Electronic address: kgmatsu@kitasato-u.ac.jp.
⁵ Department of Diagnostic Radiology, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan. Electronic address: t-hara@kitasato-u.ac.jp.
⁶ Department of Radiology, Kitasato University Hospital, Sagamihara, Kanagawa, Japan. Electronic address: komi.s@kitasato-u.ac.jp.
⁷ Department of Radiology, Kitasato University Hospital, Sagamihara, Kanagawa, Japan.

PMID: 31030113
DOI: 10.1016/j.clinimag.2019.04.005

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: Cervical spine; Compressed sensing; Gibbs ringing; Magnetic resonance imaging; Truncation artifact; Zero-fill interpolation.

MeSH terms

Adult
Algorithms
Cervical Vertebrae / anatomy & histology
Female
Humans
Image Processing, Computer-Assisted / methods*
Magnetic Resonance Imaging / methods*
Male
Phantoms, Imaging
Reproducibility of Results
Spine / anatomy & histology*