File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Calibrationless multi-slice Cartesian MRI via orthogonally alternating phase encoding direction and joint low-rank tensor completion

TitleCalibrationless multi-slice Cartesian MRI via orthogonally alternating phase encoding direction and joint low-rank tensor completion
Authors
Keywordscalibrationless parallel imaging
low-rank tensor completion
multi-slice phase encoding direction alternation
random undersampling
uniform undersampling
Issue Date2022
Citation
NMR in Biomedicine, 2022, v. 35, n. 7, article no. e4695 How to Cite?
AbstractWe propose a multi-slice acquisition with orthogonally alternating phase encoding (PE) direction and subsequent joint calibrationless reconstruction for accelerated multiple individual 2D slices or multi-slice 2D Cartesian MRI. Specifically, multi-slice multi-channel data are first acquired with random or uniform PE undersampling while orthogonally alternating PE direction between adjacent slices. They are then jointly reconstructed through a recently developed low-rank multi-slice Hankel tensor completion (MS-HTC) approach. The proposed acquisition and reconstruction strategy was evaluated with human brain MR data. It effectively suppressed aliasing artifacts even at high acceleration factor, outperforming the existing MS-HTC approach, where PE direction is the same between adjacent slices. More importantly, the new strategy worked robustly with uniform undersampling or random undersampling without any consecutive central k-space lines. In summary, our proposed multi-slice MRI strategy exploits both coil sensitivity and image content similarities across adjacent slices. Orthogonally alternating PE direction among slices substantially facilitates the low-rank completion process and improves image reconstruction quality. This new strategy is applicable to uniform and random PE undersampling. It can be easily implemented in practice for Cartesian parallel imaging of multiple individual 2D slices without any coil sensitivity calibration.
Persistent Identifierhttp://hdl.handle.net/10722/327387
ISSN
2021 Impact Factor: 4.478
2020 SCImago Journal Rankings: 1.278

 

DC FieldValueLanguage
dc.contributor.authorZhao, Yujiao-
dc.contributor.authorYi, Zheyuan-
dc.contributor.authorLiu, Yilong-
dc.contributor.authorChen, Fei-
dc.contributor.authorXiao, Linfang-
dc.contributor.authorLeong, Alex T.L.-
dc.contributor.authorWu, Ed X.-
dc.date.accessioned2023-03-31T05:30:57Z-
dc.date.available2023-03-31T05:30:57Z-
dc.date.issued2022-
dc.identifier.citationNMR in Biomedicine, 2022, v. 35, n. 7, article no. e4695-
dc.identifier.issn0952-3480-
dc.identifier.urihttp://hdl.handle.net/10722/327387-
dc.description.abstractWe propose a multi-slice acquisition with orthogonally alternating phase encoding (PE) direction and subsequent joint calibrationless reconstruction for accelerated multiple individual 2D slices or multi-slice 2D Cartesian MRI. Specifically, multi-slice multi-channel data are first acquired with random or uniform PE undersampling while orthogonally alternating PE direction between adjacent slices. They are then jointly reconstructed through a recently developed low-rank multi-slice Hankel tensor completion (MS-HTC) approach. The proposed acquisition and reconstruction strategy was evaluated with human brain MR data. It effectively suppressed aliasing artifacts even at high acceleration factor, outperforming the existing MS-HTC approach, where PE direction is the same between adjacent slices. More importantly, the new strategy worked robustly with uniform undersampling or random undersampling without any consecutive central k-space lines. In summary, our proposed multi-slice MRI strategy exploits both coil sensitivity and image content similarities across adjacent slices. Orthogonally alternating PE direction among slices substantially facilitates the low-rank completion process and improves image reconstruction quality. This new strategy is applicable to uniform and random PE undersampling. It can be easily implemented in practice for Cartesian parallel imaging of multiple individual 2D slices without any coil sensitivity calibration.-
dc.languageeng-
dc.relation.ispartofNMR in Biomedicine-
dc.subjectcalibrationless parallel imaging-
dc.subjectlow-rank tensor completion-
dc.subjectmulti-slice phase encoding direction alternation-
dc.subjectrandom undersampling-
dc.subjectuniform undersampling-
dc.titleCalibrationless multi-slice Cartesian MRI via orthogonally alternating phase encoding direction and joint low-rank tensor completion-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/nbm.4695-
dc.identifier.pmid35032072-
dc.identifier.scopuseid_2-s2.0-85124524758-
dc.identifier.volume35-
dc.identifier.issue7-
dc.identifier.spagearticle no. e4695-
dc.identifier.epagearticle no. e4695-
dc.identifier.eissn1099-1492-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats