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dc.contributor.authorHe, Yuting
dc.contributor.authorPeng, Qiwen
dc.contributor.authorKang, Chiang Huen
dc.contributor.authorTai, Dean C. S.
dc.contributor.authorXu, Shuoyu
dc.contributor.authorTuo, Xiaoye
dc.contributor.authorTrasti, Scott
dc.contributor.authorRaja, Anju Mythreyi
dc.contributor.authorSo, Peter T. C.
dc.contributor.authorRajapakse, Jagath
dc.contributor.authorYu, Hanry
dc.contributor.authorWelsch, Roy E
dc.date.accessioned2011-07-15T14:14:16Z
dc.date.available2011-07-15T14:14:16Z
dc.date.issued2010-09
dc.date.submitted2010-05
dc.identifier.issn1083-3668
dc.identifier.urihttp://hdl.handle.net/1721.1/64818
dc.description.abstractMonitoring liver fibrosis progression by liver biopsy is important for certain treatment decisions, but repeated biopsy is invasive. We envision redefinition or elimination of liver biopsy with surface scanning of the liver with minimally invasive optical methods. This would be possible only if the information contained on or near liver surfaces accurately reflects the liver fibrosis progression in the liver interior. In our study, we acquired the second-harmonic generation and two-photon excitation fluorescence microscopy images of liver tissues from bile duct-ligated rat model of liver fibrosis. We extracted morphology-based features, such as total collagen, collagen in bile duct areas, bile duct proliferation, and areas occupied by remnant hepatocytes, and defined the capsule and subcapsular regions on the liver surface based on image analysis of features. We discovered a strong correlation between the liver fibrosis progression on the anterior surface and interior in both liver lobes, where biopsy is typically obtained. The posterior surface exhibits less correlation with the rest of the liver. Therefore, scanning the anterior liver surface would obtain similar information to that obtained from biopsy for monitoring liver fibrosis progression.en_US
dc.description.sponsorshipSingapore-MIT Alliance Computational and Systems Biology Flagship Project (grant C-382-641-001-091)en_US
dc.description.sponsorshipSingapore. Agency for Science, Technology and Research (A*STAR) (grant R-185-000-182-592)en_US
dc.description.sponsorshipMechanobiology Institute, Singapore (grant R-714-001-003-271)en_US
dc.language.isoen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/1.3490414en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSPIEen_US
dc.titleToward surface quantification of liver fibrosis progressionen_US
dc.typeArticleen_US
dc.identifier.citationYuting He, Chiang Huen Kang, Shuoyu Xu, Xiaoye Tuo, Scott Trasti, Dean C. S. Tai, Anju Mythreyi Raja, Qiwen Peng, Peter T. C. So, Jagath C. Rajapakse, Roy Welsch and Hanry Yu, "Toward surface quantification of liver fibrosis progression", J. Biomed. Opt. 15, 056007 (Sep 24, 2010); doi:10.1117/1.3490414 © 2010 SPIEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)en_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.approverSo, Peter T. C.
dc.contributor.mitauthorSo, Peter T. C.
dc.contributor.mitauthorRajapakse, Jagath
dc.contributor.mitauthorWelsch, Roy E.
dc.relation.journalJournal of Biomedical Opticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHe, Yuting; Kang, Chiang Huen; Xu, Shuoyu; Tuo, Xiaoye; Trasti, Scott; Tai, Dean C. S.; Raja, Anju Mythreyi; Peng, Qiwen; So, Peter T. C.; Rajapakse, Jagath C.; Welsch, Roy; Yu, Hanryen
dc.identifier.orcidhttps://orcid.org/0000-0002-9038-1622
dc.identifier.orcidhttps://orcid.org/0000-0003-4698-6488
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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