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dc.contributor.authorPeng, Qiwen
dc.contributor.authorZhuo, Shuangmu
dc.contributor.authorYu, Hanry
dc.contributor.authorSo, Peter T. C.
dc.date.accessioned2019-01-08T18:59:03Z
dc.date.available2019-01-08T18:59:03Z
dc.date.issued2015-02
dc.date.submitted2014-12
dc.identifier.issn0003-6951
dc.identifier.issn1077-3118
dc.identifier.urihttp://hdl.handle.net/1721.1/119881
dc.description.abstractThe correlation of forward second harmonic generation (SHG) signal and backward SHG signal in different liver fibrosis stages was investigated. We found that three features, including the collagen percentage for forward SHG, the collagen percentage for backward SHG, and the average intensity ratio of two kinds of SHG signals, can quantitatively stage liver fibrosis in thioacetamide-induced rat model. We demonstrated that the combination of all three features by using a support vector machine classification algorithm can provide a more accurate prediction than each feature alone in fibrosis diagnosis.en_US
dc.publisherAmerican Institute of Physics (AIP)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1063/1.4913907en_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.sourceOther repositoryen_US
dc.titleImproving liver fibrosis diagnosis based on forward and backward second harmonic generation signalsen_US
dc.typeArticleen_US
dc.identifier.citationPeng, Qiwen et al. “Improving Liver Fibrosis Diagnosis Based on Forward and Backward Second Harmonic Generation Signals.” Applied Physics Letters 106, 8 (February 2015): 083701 © 2015 AIP Publishing LLCen_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.mitauthorSo, Peter T. C.
dc.relation.journalApplied Physics Lettersen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-01-03T18:59:51Z
dspace.orderedauthorsPeng, Qiwen; Zhuo, Shuangmu; So, Peter T. C.; Yu, Hanryen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4698-6488
mit.licensePUBLISHER_POLICYen_US


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