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dc.contributor.authorZhang, Qing
dc.contributor.authorUr-Rehman, Masood
dc.contributor.authorYang, Xiaodong
dc.date.accessioned2020-06-25T09:08:50Z
dc.date.available2020-06-25T09:08:50Z
dc.date.issued2020-01-01
dc.identifier.citationZhang Q, Ur-Rehman M, Yang X (2020) 'Tunable phantoms and their verification', Journal of Medical Imaging and Health Informatics, 10 (1), pp.1-10.en_US
dc.identifier.issn2156-7018
dc.identifier.doi10.1166/jmihi.2020.2785
dc.identifier.urihttp://hdl.handle.net/10547/624091
dc.description.abstractDigital phantoms are very important for body area networks and other biomedical applications. However, it is important to note that most existing phantoms are static, including 3D scanned and voxel models. Recent research has revealed that tunable phantoms are still very necessary for body area networks since various postures should be considered. In this paper, parameterized digital phantoms are generated from 2D images. The train of thought and results presented in the paper are worth reference for phantom researchers.en_US
dc.language.isoenen_US
dc.publisherAmerican Scientific Publishersen_US
dc.relation.urlhttps://www.ingentaconnect.com/contentone/asp/jmihi/2020/00000010/00000001/art00001?crawler=true&mimetype=application/pdfen_US
dc.rightsWhite - archiving not formally supported
dc.subjecttunable phantomsen_US
dc.titleTunable phantoms and their verificationen_US
dc.typeArticleen_US
dc.identifier.eissn2156-7026
dc.identifier.journalJournal of Medical Imaging and Health Informaticsen_US
dc.date.updated2020-06-25T09:06:36Z
dc.description.note


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