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A computerized system of nail-fold capillaroscopy for dry eye disease diagnosis

dc.citation.epage524en_US
dc.citation.issue4en_US
dc.citation.spage515en_US
dc.citation.volume23en_US
dc.citation.woscount1
dc.contributor.authorHou, Mark C.en_US
dc.contributor.authorHuang, Sheng-Chiehen_US
dc.contributor.authorWang, Hui-Minen_US
dc.contributor.authorTseng, Cheng-Lungen_US
dc.contributor.authorLo, Lun-Chienen_US
dc.contributor.authorChen, Ying-Lingen_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.date.accessioned2014-12-08T15:24:07Z
dc.date.available2014-12-08T15:24:07Z
dc.date.issued2012-12-01en_US
dc.description.abstractNail-fold Capillaroscopy is a convenient and non-invasive tool to evaluate peripheral circulation. Rheumatic diseases such as Raynaud's disease and systemic sclerosis are investigated mostly by nail-fold capillaroscopy. However, it has not been used popularly due to the lack of golden standard in both measurement procedure and objective quantity analysis. This study proposes a computerized system of nail-fold capillaroscopy (CNC). CNC includes standard measurement procedures and three criterions of microcirculation which are capillary density, capillary width and blood flow velocity. CNC is applied to the images of 36 normal subjects and seven patients of dry eye disease (DED). We found density and width of afferent capillary were the better parameters to identify DED (p < 0.05). CNC could be a good auxiliary diagnostic tool for DED.en_US
dc.identifier.doi10.1007/s11045-012-0177-4en_US
dc.identifier.issn0923-6082en_US
dc.identifier.journalMULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSINGen_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11045-012-0177-4en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/16785
dc.identifier.wosnumberWOS:000306800600007
dc.language.isoen_USen_US
dc.subjectNail-fold capillaroscopyen_US
dc.subjectImage processingen_US
dc.subjectDry eye diseaseen_US
dc.titleA computerized system of nail-fold capillaroscopy for dry eye disease diagnosisen_US
dc.typeArticleen_US

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