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Conference Paper: Multiple Geometric surfaces detection in Geometric Coordination Registration for implant surgery virtual planning and assessment

TitleMultiple Geometric surfaces detection in Geometric Coordination Registration for implant surgery virtual planning and assessment
Authors
Keywordsregistration
cone-beam computed tomography
optical scanner
Issue Date2021
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1800343/all-proceedings
Citation
2021 15th International Symposium on Medical Information and Communication Technology (ISMICT), Xiamen, China, 14-16 April 2021, p. 190-194 How to Cite?
AbstractObjective: The aim of this study is to develop automatic methods of geometric coordination registration (GCR) for the virtual planning and evaluation of implant surgery. Methods: The target modalities of the image to be registered are cone-beam computed tomography (CBCT) or optical surface (OS) scan. Several geometric fiducial markers, cubic corners (CC) and discs, are fabricated on the patient's oral stent and digitized into a 3D mesh model. By analyzing the distribution of vertices and normal vectors of the mesh model, a novel descriptor is proposed to detect the position of the geometric fiducial markers. CC edges and disc centers are then used to find the transformation matrix to align the input point cloud to the target Cartesian axes. Results: CBCT and OS scans of the plaster models with implants of 29 patients were collected. The implant positions found by using the proposed algorithm were compared to the Gold standard developed with a coordinate measuring machine (CMM). Experimental results show that the target registration error (TRE) of the proposed method was 0.43mm. Conclusion: The proposed method performs better than existing manual or semi-automatic GCR (TRE 0.52mm).
Persistent Identifierhttp://hdl.handle.net/10722/308264
ISSN
2020 SCImago Journal Rankings: 0.191

 

DC FieldValueLanguage
dc.contributor.authorWu, ZJ-
dc.contributor.authorHsung, TC-
dc.contributor.authorLing, WK-
dc.contributor.authorHeng, CY-
dc.contributor.authorLam, YHW-
dc.contributor.authorPan, Y-
dc.date.accessioned2021-11-12T13:44:48Z-
dc.date.available2021-11-12T13:44:48Z-
dc.date.issued2021-
dc.identifier.citation2021 15th International Symposium on Medical Information and Communication Technology (ISMICT), Xiamen, China, 14-16 April 2021, p. 190-194-
dc.identifier.issn2326-828X-
dc.identifier.urihttp://hdl.handle.net/10722/308264-
dc.description.abstractObjective: The aim of this study is to develop automatic methods of geometric coordination registration (GCR) for the virtual planning and evaluation of implant surgery. Methods: The target modalities of the image to be registered are cone-beam computed tomography (CBCT) or optical surface (OS) scan. Several geometric fiducial markers, cubic corners (CC) and discs, are fabricated on the patient's oral stent and digitized into a 3D mesh model. By analyzing the distribution of vertices and normal vectors of the mesh model, a novel descriptor is proposed to detect the position of the geometric fiducial markers. CC edges and disc centers are then used to find the transformation matrix to align the input point cloud to the target Cartesian axes. Results: CBCT and OS scans of the plaster models with implants of 29 patients were collected. The implant positions found by using the proposed algorithm were compared to the Gold standard developed with a coordinate measuring machine (CMM). Experimental results show that the target registration error (TRE) of the proposed method was 0.43mm. Conclusion: The proposed method performs better than existing manual or semi-automatic GCR (TRE 0.52mm).-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1800343/all-proceedings-
dc.relation.ispartof2021 15th International Symposium on Medical Information and Communication Technology (ISMICT)-
dc.rightsInternational Symposium on Medical Information and Communication Technology (ISMICT). Copyright © IEEE.-
dc.rights©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectregistration-
dc.subjectcone-beam computed tomography-
dc.subjectoptical scanner-
dc.titleMultiple Geometric surfaces detection in Geometric Coordination Registration for implant surgery virtual planning and assessment-
dc.typeConference_Paper-
dc.identifier.emailHsung, TC: tchsung@hku.hk-
dc.identifier.emailLam, YHW: retlaw@hku.hk-
dc.identifier.authorityLam, YHW=rp02183-
dc.description.naturepostprint-
dc.identifier.doi10.1109/ISMICT51748.2021.9434929-
dc.identifier.hkuros329814-
dc.identifier.spage190-
dc.identifier.epage194-
dc.publisher.placeUnited States-

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