Craniofacial Computer Assisted Surgical Planning and Simulation

dc.contributor.advisor Aytaç, İsmail Sıtkı
dc.contributor.author Ekin, Emine
dc.date.accessioned 2014-07-22T13:52:52Z
dc.date.available 2014-07-22T13:52:52Z
dc.date.issued 1999
dc.description Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 1999 en_US
dc.description Includes bibliographical references (leaves: 123-130) en_US
dc.description Text in English; Abstract: Turkish and English en_US
dc.description xiv, 151 leaves en_US
dc.description.abstract In this work, mainly, the first step of craniofacial surgical simulation and planning procedure, reconstruction of tomography images is investigated. The Direct Reconstruction techniques and algebraic methods are described in detailed mathematical formulations for both two and three-dimensional cases. And also a brief description of medical imaging techniques and the terminology of craniofacial surgical simulation and planning is given. In the last chapter the implementation details, the algorithms developed and some resulting images are given and the images are compared with respect to the used algorithms. en_US
dc.identifier.uri https://hdl.handle.net/11147/3985
dc.language.iso en en_US
dc.publisher Izmir Institute of Technology en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject.lcc RC78.7.D53 .E35 1999 en
dc.subject.lcsh Diagnostic imaging en
dc.subject.lcsh Three-dimensional imaging in medicine en
dc.title Craniofacial Computer Assisted Surgical Planning and Simulation en_US
dc.type Master Thesis en_US
dspace.entity.type Publication
gdc.author.institutional Ekin, Emine
gdc.coar.access open access
gdc.coar.type text::thesis::master thesis
gdc.description.department Thesis (Master)--İzmir Institute of Technology, Computer Engineering en_US
gdc.description.publicationcategory Tez en_US
gdc.description.scopusquality N/A
gdc.description.wosquality N/A
relation.isAuthorOfPublication.latestForDiscovery 5d026f17-aa1c-4850-9309-1e091211d14f
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4014-8abe-a4dfe192da5e

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