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Conference Paper: Contour-Aware 3D Medical Image Registration

TitleContour-Aware 3D Medical Image Registration
Authors
Zhao, MMeng, NCheung, JPYZhang, T
KeywordsRigid-body image registration
CT imaging applications
CT imaging
Issue Date2022
PublisherInstitute of Electrical and Electronics Engineers.
Citation
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022: Biomedical Engineering transforming the provision of healthcare: promoting wellness through personalized & predictable provision at the point of care, Glasgow, UK, 11-15 July 2022 How to Cite?
AbstractWe developed a contour-aware 3D medical image registration (CA3D-MIR) pipeline to exploit the contour shape for fast and accurate registration of two 3D medical images from different imaging modalities. Our method automatically extracts the object contour points with the proposed convex hull erosion algorithm to generate point clouds. Then, an improved slice-based iterative closest point (ICP) algorithm is performed to obtain the registration parameters. Experimental results show that our method reduces the time and the registration error compared with the traditional ICP method. Clinical Relevance— This paper provides a method to register 3D medical images with variance resolutions.
DescriptionPoster Session - WeEP-26: Theme 02. Biomedical Imaging and Image Processing V - Paper WeEP-26.2 (#1577)
Persistent Identifierhttp://hdl.handle.net/10722/313256

 

DC FieldValueLanguage
dc.contributor.authorZhao, M-
dc.contributor.authorMeng, N-
dc.contributor.authorCheung, JPY-
dc.contributor.authorZhang, T-
dc.date.accessioned2022-06-06T05:48:23Z-
dc.date.available2022-06-06T05:48:23Z-
dc.date.issued2022-
dc.identifier.citation44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022: Biomedical Engineering transforming the provision of healthcare: promoting wellness through personalized & predictable provision at the point of care, Glasgow, UK, 11-15 July 2022-
dc.identifier.urihttp://hdl.handle.net/10722/313256-
dc.descriptionPoster Session - WeEP-26: Theme 02. Biomedical Imaging and Image Processing V - Paper WeEP-26.2 (#1577)-
dc.description.abstractWe developed a contour-aware 3D medical image registration (CA3D-MIR) pipeline to exploit the contour shape for fast and accurate registration of two 3D medical images from different imaging modalities. Our method automatically extracts the object contour points with the proposed convex hull erosion algorithm to generate point clouds. Then, an improved slice-based iterative closest point (ICP) algorithm is performed to obtain the registration parameters. Experimental results show that our method reduces the time and the registration error compared with the traditional ICP method. Clinical Relevance— This paper provides a method to register 3D medical images with variance resolutions.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers.-
dc.relation.ispartofIEEE Engineering in Medicine and Biology Society (EMBC) Conference, 2022-
dc.rightsIEEE Engineering in Medicine and Biology Society (EMBC) Conference, 2022. Copyright © Institute of Electrical and Electronics Engineers.-
dc.subjectRigid-body image registration-
dc.subjectCT imaging applications-
dc.subjectCT imaging-
dc.titleContour-Aware 3D Medical Image Registration-
dc.typeConference_Paper-
dc.identifier.emailMeng, N: nanmeng@hku.hk-
dc.identifier.emailCheung, JPY: cheungjp@hku.hk-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.authorityCheung, JPY=rp01685-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.hkuros333254-
dc.publisher.placeUnited States-

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