File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Super Slice Interpolation For Generating Thin-Slice Images From Multichannel Multislice MRI Data

TitleSuper Slice Interpolation For Generating Thin-Slice Images From Multichannel Multislice MRI Data
Authors
Issue Date2018
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269
Citation
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA,18-21 July 2018, p. 1351-1355 How to Cite?
AbstractThis study aims to develop a super slice interpolation (SSI) method that generates thin-slice images from multichannel multislice images by exploiting the intra-slice coil sensitivity variations. SSI first calculates the thin-slice sensitivity maps by through-plane interpolation of the sensitivity maps computed from the acquired multislice images. It then reconstructs multiple thin-slice images from each acquired image using a through-plane regularized sensitivity encoding (SENSE) like procedure that consists of an initial SENSE reconstruction and denoising to set the prior information image, and subsequent regularized SENSE reconstruction. We evaluated SSI using multislice brain and abdominal images with typical slice thickness. SSI successfully separated each acquired image into two thinner ones without magnitude bias. Compared with the original thick-slice images, SSI revealed more anatomical details that were consistent with those in the separately acquired thin-slice images. SSI presents a novel slice interpolation approach to obtain thin-slice images from the multichannel thick-slice images.
Persistent Identifierhttp://hdl.handle.net/10722/278729
ISSN

 

DC FieldValueLanguage
dc.contributor.authorFeng, Y-
dc.contributor.authorLyu, M-
dc.contributor.authorLiu, Y-
dc.contributor.authorXie, B-
dc.contributor.authorMak, KFH-
dc.contributor.authorGuo, H-
dc.contributor.authorWu, EX-
dc.date.accessioned2019-10-21T02:12:57Z-
dc.date.available2019-10-21T02:12:57Z-
dc.date.issued2018-
dc.identifier.citation2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA,18-21 July 2018, p. 1351-1355-
dc.identifier.issn1557-170X-
dc.identifier.urihttp://hdl.handle.net/10722/278729-
dc.description.abstractThis study aims to develop a super slice interpolation (SSI) method that generates thin-slice images from multichannel multislice images by exploiting the intra-slice coil sensitivity variations. SSI first calculates the thin-slice sensitivity maps by through-plane interpolation of the sensitivity maps computed from the acquired multislice images. It then reconstructs multiple thin-slice images from each acquired image using a through-plane regularized sensitivity encoding (SENSE) like procedure that consists of an initial SENSE reconstruction and denoising to set the prior information image, and subsequent regularized SENSE reconstruction. We evaluated SSI using multislice brain and abdominal images with typical slice thickness. SSI successfully separated each acquired image into two thinner ones without magnitude bias. Compared with the original thick-slice images, SSI revealed more anatomical details that were consistent with those in the separately acquired thin-slice images. SSI presents a novel slice interpolation approach to obtain thin-slice images from the multichannel thick-slice images.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000269-
dc.relation.ispartofIEEE Engineering in Medicine and Biology Society (EMBC) Conference Proceedings-
dc.relation.ispartof2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)-
dc.rightsIEEE Engineering in Medicine and Biology Society (EMBC) Conference Proceedings. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleSuper Slice Interpolation For Generating Thin-Slice Images From Multichannel Multislice MRI Data-
dc.typeConference_Paper-
dc.identifier.emailLyu, M: mylyu@connect.hku.hk-
dc.identifier.emailLiu, Y: loyalliu@hku.hk-
dc.identifier.emailWu, EX: ewu@eee.hku.hk-
dc.identifier.authorityWu, EX=rp00193-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/EMBC.2018.8512523-
dc.identifier.hkuros307730-
dc.identifier.spage1351-
dc.identifier.epage1355-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats