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dc.contributor.authorLee, P. C.en_US
dc.contributor.authorHuang, Y. R.en_US
dc.contributor.authorChang, H. M.en_US
dc.contributor.authorChiang, A. S.en_US
dc.contributor.authorChing, Y. T.en_US
dc.date.accessioned2014-12-08T15:24:41Z-
dc.date.available2014-12-08T15:24:41Z-
dc.date.issued2006en_US
dc.identifier.isbn0-8194-6186-5en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/17137-
dc.identifier.urihttp://dx.doi.org/10.1117/12.653069en_US
dc.description.abstractExpression of human A beta 42 peptide in the Drosophila brain induces pathological phenotypes resembling Alzheimer's disease (PNAS 101, 6623-6628). Three-dimensional confocal imaging reveals extensive vacuoles caused by neurodegeneration in the brain of aged but not young A beta 42 flies. Here, we report a three-dimensional computation algorisin allowing semi-automatic measurement of numbers and volumes of brain vacuoles. The method employed matched filters, alpha-shape, and the active-contour techniques. Using this method, a good result depicting the contours of the vacuoles can be obtained. A more accurate algorithm is still under development. Accurate evaluation of brain pathology in Alzheimer's flies may facilitate the understanding of molecular mechanisms underlying A beta. toxicity and the discovery of novel therapeutic targets for Alzheimer's disease.en_US
dc.language.isoen_USen_US
dc.subjectconfocal microscopic imagesen_US
dc.subjectmatched filteren_US
dc.subjectalpha-shapeen_US
dc.subjectactive-contouren_US
dc.subjectsnakeen_US
dc.titleComputation of brain neurodegeneration in the Alzheimer's fly - art. no. 61433Een_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.653069en_US
dc.identifier.journalMedical Imaging 2006: Physiology, Function, and Structure from Medical Images Pts 1 and 2en_US
dc.citation.volume6143en_US
dc.citation.spageE1433en_US
dc.citation.epageE1433en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000237637000114-
Appears in Collections:Conferences Paper


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