Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89396
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhang, Minqien
dc.contributor.authorLi, Fangen
dc.contributor.authorWang, Xingceen
dc.contributor.authorWu, Zhongkeen
dc.contributor.authorXin, Shi-Qingen
dc.contributor.authorLui, Lok-Mingen
dc.contributor.authorShi, Linen
dc.contributor.authorWang, Defengen
dc.contributor.authorHe, Yingen
dc.date.accessioned2018-10-05T07:15:35Zen
dc.date.accessioned2019-12-06T17:24:34Z-
dc.date.available2018-10-05T07:15:35Zen
dc.date.available2019-12-06T17:24:34Z-
dc.date.issued2014en
dc.identifier.citationZhang, M., Li, F., Wang, X., Wu, Z., Xin, S. Q., Lui, L. M., ... He, Y. (2014). Automatic registration of vestibular systems with exact landmark correspondence. Graphical Models, 76(5), 532-541. doi:10.1016/j.gmod.2014.04.010en
dc.identifier.issn1524-0703en
dc.identifier.urihttps://hdl.handle.net/10356/89396-
dc.identifier.urihttp://hdl.handle.net/10220/46233en
dc.description.abstractShape registration has a wide range of applications in geometric modeling, medical imaging, and computer vision. This paper focuses on the registration of the genus-3 vestibular systems and studies the geometric differences between the normal and Adolescent Idiopathic Scoliosis (AIS) groups. The non-trivial topology of the VS poses great technical challenges to the geometric analysis. To tackle these challenges, we present an effective and practical solution to register the vestibular systems. We first extract six geodesic landmarks for the VS, which are stable, intrinsic, and insensitive to the VS’s resolution and tessellation. Moreover, they are highly consistent regardless of the AIS and normal groups. The detected geodesic landmarks partition the VS into three patches, a topological annulus and two topological disks. For each pair of patches of the AIS subject and the control, we compute a bijective map using the holomorphic 1-form and harmonic map techniques. With a carefully designed boundary condition, the three individual maps can be glued in a seamless manner so that the resulting registration is a homeomorphism with exact landmark matching. Our method is robust, automatic and efficient. It takes only a few seconds on a low-end PC, which significantly outperforms the non-rigid ICP algorithm. We conducted a student’s t-test on the test data. Computational results show that using the mean curvature measure EH, our method can distinguish the AIS subjects and the normal subjects.en
dc.description.sponsorshipMOE (Min. of Education, S’pore)en
dc.format.extent9 p.en
dc.language.isoenen
dc.relation.ispartofseriesGraphical Modelsen
dc.rights© 2014 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Graphic Models, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.gmod.2014.04.010].en
dc.subjectRegistrationen
dc.subjectLandmark Matchingen
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.titleAutomatic registration of vestibular systems with exact landmark correspondenceen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen
dc.identifier.doi10.1016/j.gmod.2014.04.010en
dc.description.versionAccepted versionen
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:SCSE Journal Articles
Files in This Item:
File Description SizeFormat 
Automatic Registration of Vestibular Systems with Exact Landmark Correspondence.pdf3.6 MBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.