Publication:
An evaluation of automatic marking of anatomical landmarks for back surface deformity analysis

dc.contributor.authorParittotakapron S.
dc.contributor.authorSira-Uksorn P.
dc.contributor.authorChaichanadee P.
dc.contributor.authorPhatrapornnant T.
dc.contributor.authorParittotokkaporn T.
dc.date.accessioned2021-04-05T03:23:53Z
dc.date.available2021-04-05T03:23:53Z
dc.date.issued2016
dc.date.issuedBE2559
dc.description.abstractBack deformity studies require marks or labels which are attached on patient's body in order to measure and evaluate the level of severity. Manually marking of anatomical landmarks on two dimensional (2D) image can reduce time-consuming in traditional process but there is difficulty in 2D-visually locating the anatomical landmarks in some patients. Currently, 3D scanners are inexpensive and become widespread in various applications. The advantage of depth information from 3D scanner can assist to locate anatomical landmarks for back surface deformity analysis. In this study, automatically marking methods are assessed and compared among themselves and manual method. The experiments are tested on both phantom and humans. © 2016 IEEE.
dc.format.mimetypeapplication/pdf
dc.identifier.citation7th International Conference on Information Communication Technology for Embedded Systems 2016, IC-ICTES 2016. (2016), p.61-66
dc.identifier.doi10.1109/ICTEmSys.2016.7467123
dc.identifier.other2-s2.0-84974603270
dc.identifier.urihttps://hdl.handle.net/20.500.14740/5389
dc.rights.holderScopus
dc.subject.otherDeformation
dc.subject.otherIntegrated circuits
dc.subject.otherMultispectral scanners
dc.subject.otherScanning
dc.subject.other3-d modeling
dc.subject.otherAnatomical landmarks
dc.subject.otherAutomatic marking
dc.subject.otherContour
dc.subject.otherDepth information
dc.subject.otherManual methods
dc.subject.otherMarking method
dc.subject.otherTwo dimensional (2D) image
dc.subject.otherEmbedded systems
dc.titleAn evaluation of automatic marking of anatomical landmarks for back surface deformity analysis
dc.typeConference Paper
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84974603270&doi=10.1109%2fICTEmSys.2016.7467123&partnerID=40&md5=4a4f4a5a432cd61e74bad7187a927fcd

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