Susceptibility Map-Weighted Imaging (SMWI) for Neuroimaging
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gho, Sung-Min | - |
dc.contributor.author | Liu, Chunlei | - |
dc.contributor.author | Li, Wei | - |
dc.contributor.author | Jang, Ung | - |
dc.contributor.author | Kim, Eung Yeop | - |
dc.contributor.author | Hwang, Dosik | - |
dc.contributor.author | Kim, Dong-Hyun | - |
dc.date.available | 2020-02-28T16:45:55Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2014-08 | - |
dc.identifier.issn | 0740-3194 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12441 | - |
dc.description.abstract | Purpose: To propose a susceptibility map-weighted imaging (SMWI) method by combining a magnitude image with a quantitative susceptibility mapping (QSM) -based weighting factor thereby providing an alternative contrast compared with magnitude image, susceptibility-weighted imaging, and QSM. Methods: A three-dimensional multi-echo gradient echo sequence is used to obtain the data. The QSM was transformed to a susceptibility mask that varies in amplitude between zero and unity. This mask was multiplied several times with the original magnitude image to create alternative contrasts between tissues with different susceptibilities. A temporal domain denoising method to enhance the signal-to-noise ratio was further applied. Optimal reconstruction processes of the SMWI were determined from simulations. Results: Temporal domain denoising enhanced the signal-to-noise ratio, especially at late echoes without spatial artifacts. From phantom simulations, the optimal number of multiplication and threshold values was chosen. Reconstructed SMWI created different contrasts based on its weighting factors made from paramagnetic or diamagnetic susceptibility tissue and provided an excellent delineation of microhemorrhage without blooming artifacts typically caused by the nonlocal property of phase. Conclusion: SMWI presents an alternative contrast for susceptibility-based imaging. The validity of this method was demonstrated using in vivo data. This proposed method together with denoising allows high-quality reconstruction of susceptibility-weighted image of human brain in vivo. (C) 2013 Wiley Periodicals, Inc. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | WILEY-BLACKWELL | - |
dc.relation.isPartOf | MAGNETIC RESONANCE IN MEDICINE | - |
dc.subject | BRAIN IRON CONCENTRATION | - |
dc.subject | MR-IMAGES | - |
dc.subject | PHASE | - |
dc.subject | RESOLUTION | - |
dc.subject | CONTRAST | - |
dc.subject | ORIENTATION | - |
dc.subject | SENSITIVITY | - |
dc.subject | MATTER | - |
dc.title | Susceptibility Map-Weighted Imaging (SMWI) for Neuroimaging | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000339714900005 | - |
dc.identifier.doi | 10.1002/mrm.24920 | - |
dc.identifier.bibliographicCitation | MAGNETIC RESONANCE IN MEDICINE, v.72, no.2, pp.337 - 346 | - |
dc.identifier.scopusid | 2-s2.0-84904462294 | - |
dc.citation.endPage | 346 | - |
dc.citation.startPage | 337 | - |
dc.citation.title | MAGNETIC RESONANCE IN MEDICINE | - |
dc.citation.volume | 72 | - |
dc.citation.number | 2 | - |
dc.contributor.affiliatedAuthor | Kim, Eung Yeop | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | susceptibility-weighted imaging | - |
dc.subject.keywordAuthor | phase image | - |
dc.subject.keywordAuthor | quantitative susceptibility mapping | - |
dc.subject.keywordAuthor | susceptibility map-weighted imaging | - |
dc.subject.keywordAuthor | T-2(star) imaging | - |
dc.subject.keywordPlus | BRAIN IRON CONCENTRATION | - |
dc.subject.keywordPlus | MR-IMAGES | - |
dc.subject.keywordPlus | PHASE | - |
dc.subject.keywordPlus | RESOLUTION | - |
dc.subject.keywordPlus | CONTRAST | - |
dc.subject.keywordPlus | ORIENTATION | - |
dc.subject.keywordPlus | SENSITIVITY | - |
dc.subject.keywordPlus | MATTER | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.