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Conference Paper: Orbit Segmentation by Surface Reconstruction with Vertex screening

TitleOrbit Segmentation by Surface Reconstruction with Vertex screening
Authors
Issue Date2014
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001228
Citation
The 19th International Conference on Digital Signal Processing (DSP), Hong Kong, China, 20-23 August 2014. In the Proceedings of the International Conference on Digital Signal Processing, 2014, p. 521-524 How to Cite?
AbstractWe suggest a computational approach to the orbit segmentation for computer tomography (CT) images. The first step was to perform Hounsfield unit thresholding to segment the bony structure. Then a three dimensional (3D) mesh model was generated. Poisson surface reconstruction was applied to the screened vertices that lay on the inner orbital walls. These procedures effectively interpolate the broken surfaces due to orbital fissures; various nerves foramina; and thin bone structure around the orbit. A validation was performed on the CT images of a dried skull with dental impression material filled orbits. The volume differences are 2.2 and 1.5% respectively for the two orbits. Surface differences are within ±0.46mm RMS. The differences are not clinically significant. The main novelty of proposed method is the ability in selecting vertices according to the desired orientation and therefore it is robust against broken structure in the segmentation.
Persistent Identifierhttp://hdl.handle.net/10722/198603
ISBN

 

DC FieldValueLanguage
dc.contributor.authorHsung, TCen_US
dc.contributor.authorLo, Jen_US
dc.contributor.authorChong, MMen_US
dc.contributor.authorCheung, LKen_US
dc.contributor.authorGoto, Ten_US
dc.date.accessioned2014-07-07T08:10:09Z-
dc.date.available2014-07-07T08:10:09Z-
dc.date.issued2014en_US
dc.identifier.citationThe 19th International Conference on Digital Signal Processing (DSP), Hong Kong, China, 20-23 August 2014. In the Proceedings of the International Conference on Digital Signal Processing, 2014, p. 521-524en_US
dc.identifier.isbn9781479946129-
dc.identifier.urihttp://hdl.handle.net/10722/198603-
dc.description.abstractWe suggest a computational approach to the orbit segmentation for computer tomography (CT) images. The first step was to perform Hounsfield unit thresholding to segment the bony structure. Then a three dimensional (3D) mesh model was generated. Poisson surface reconstruction was applied to the screened vertices that lay on the inner orbital walls. These procedures effectively interpolate the broken surfaces due to orbital fissures; various nerves foramina; and thin bone structure around the orbit. A validation was performed on the CT images of a dried skull with dental impression material filled orbits. The volume differences are 2.2 and 1.5% respectively for the two orbits. Surface differences are within ±0.46mm RMS. The differences are not clinically significant. The main novelty of proposed method is the ability in selecting vertices according to the desired orientation and therefore it is robust against broken structure in the segmentation.en_US
dc.languageengen_US
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001228-
dc.relation.ispartofProceedings of the International Conference on Digital Signal Processingen_US
dc.rightsProceedings of the International Conference on Digital Signal Processing. Copyright © I E E E.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleOrbit Segmentation by Surface Reconstruction with Vertex screeningen_US
dc.typeConference_Paperen_US
dc.identifier.emailHsung, TC: tchsung@hku.hken_US
dc.identifier.emailLo, J: drjohnlo@hku.hken_US
dc.identifier.emailCheung, LK: lkcheung@hkucc.hku.hken_US
dc.identifier.emailGoto, T: gototk@hku.hken_US
dc.identifier.authorityLo, J=rp00041en_US
dc.identifier.authorityCheung, LK=rp00013en_US
dc.identifier.authorityGoto, T=rp01434en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICDSP.2014.6900720-
dc.identifier.hkuros229711en_US
dc.identifier.hkuros239323-
dc.identifier.spage521-
dc.identifier.epage524-
dc.publisher.placeUnited State-

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