MREIT conductivity imaging of the postmortem canine abdomen using CoReHA

Cited 30 time in webofscience Cited 0 time in scopus
  • Hit : 395
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKiwan Jeonko
dc.contributor.authorAtul S Minhasko
dc.contributor.authorYoung Tae Kimko
dc.contributor.authorWoo Chul Jeongko
dc.contributor.authorHyung Joong Kimko
dc.contributor.authorByeong Teck Kangko
dc.contributor.authorHee Myung Parkko
dc.contributor.authorLee, Chang-Ockko
dc.contributor.authorJin Keun Seoko
dc.contributor.authorEung Je Wooko
dc.date.accessioned2013-03-11T06:44:18Z-
dc.date.available2013-03-11T06:44:18Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2009-09-
dc.identifier.citationPHYSIOLOGICAL MEASUREMENT, v.30, pp.957 - 966-
dc.identifier.issn0967-3334-
dc.identifier.urihttp://hdl.handle.net/10203/98551-
dc.description.abstractMagnetic resonance electrical impedance tomography (MREIT) is a new bio-imaging modality providing cross-sectional conductivity images from measurements of internal magnetic flux densities produced by externally injected currents. Recent experimental results of postmortem and in vivo imaging of the canine brain demonstrated its feasibility by showing conductivity images with meaningful contrast among different brain tissues. MREIT image reconstructions involve a series of data processing steps such as k-space data handling, phase unwrapping, image segmentation, meshing, modelling,finite element computation, denoising and so on. To facilitate experimental studies, we need a software tool that automates these data processing steps. In this paper, we summarize such an MREIT software package called CoReHA (conductivity reconstructor using harmonic algorithms). Performing imaging experiments of the postmortem canine abdomen, we demonstrate how CoReHA can be utilized in MREIT. The abdomen with a relatively large field of view and various organs imposes new technical challenges when it is chosen as an imaging domain. Summarizing a few improvements in the experimental MREIT technique, we report our first conductivity images of the postmortem canine abdomen. Illustrating reconstructed conductivity images, we discuss how they discern different organs including the kidney, spleen, stomach and small intestine. We elaborate, as an example, that conductivity images of the kidney show clear contrast among cortex, internal medulla, renal pelvis and urethra. We end this paper with a brief discussion on future work using different animal models.-
dc.languageEnglish-
dc.publisherIOP PUBLISHING LTD-
dc.titleMREIT conductivity imaging of the postmortem canine abdomen using CoReHA-
dc.typeArticle-
dc.identifier.wosid000269179800007-
dc.identifier.scopusid2-s2.0-70350448178-
dc.type.rimsART-
dc.citation.volume30-
dc.citation.beginningpage957-
dc.citation.endingpage966-
dc.citation.publicationnamePHYSIOLOGICAL MEASUREMENT-
dc.identifier.doi10.1088/0967-3334/30/9/007-
dc.contributor.localauthorLee, Chang-Ock-
dc.contributor.nonIdAuthorAtul S Minhas-
dc.contributor.nonIdAuthorYoung Tae Kim-
dc.contributor.nonIdAuthorWoo Chul Jeong-
dc.contributor.nonIdAuthorHyung Joong Kim-
dc.contributor.nonIdAuthorByeong Teck Kang-
dc.contributor.nonIdAuthorHee Myung Park-
dc.contributor.nonIdAuthorJin Keun Seo-
dc.contributor.nonIdAuthorEung Je Woo-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorMREIT-
dc.subject.keywordAuthorconductivity image-
dc.subject.keywordAuthorcanine abdomen-
dc.subject.keywordAuthorCoReHA-
dc.subject.keywordPlusELECTRICAL-IMPEDANCE TOMOGRAPHY-
dc.subject.keywordPlusB-Z ALGORITHM-
dc.subject.keywordPlusMAGNETIC-RESONANCE-
dc.subject.keywordPlusCURRENT-DENSITY-
dc.subject.keywordPlusRECONSTRUCTION-
dc.subject.keywordPlusSIMULATION-
dc.subject.keywordPlusDECOMPOSITION-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordPlusSYSTEM-
Appears in Collection
MA-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 30 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0