Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | SIYEOP YOON | - |
dc.contributor.author | Son Jin Won | - |
dc.contributor.author | Youngjun Kim | - |
dc.contributor.author | Park, Se Hyung | - |
dc.contributor.author | Lee, Deukhee | - |
dc.date.accessioned | 2024-01-12T06:13:51Z | - |
dc.date.available | 2024-01-12T06:13:51Z | - |
dc.date.created | 2021-09-29 | - |
dc.date.issued | 2017-06 | - |
dc.identifier.issn | 2325-033X | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/79514 | - |
dc.description.abstract | The registration of preoperative 3D to intraoperative 2D images plays a crucial role in percutaneous coronary intervention. This technique reduces uncertainty regarding vessel topology and depth information in 2D intraoperative images. The aim of 2D/3D image registration is to determine the most appropriate image alignment. However, 2D/3D registration of heart images is challenging, due to differences in dimensionality and non-rigid motion, among others. In this paper, we propose a bifurcation-based biplane non-rigid 2D/3D registration method for coronary arteries. Experiments were performed in a virtual environment, and the results of the registration show an average distance with a ground truth of 0.57 mm. | - |
dc.language | English | - |
dc.publisher | Korea Robotics Society | - |
dc.subject | Computed tomography angiograph | - |
dc.subject | registration | - |
dc.subject | coronary artery | - |
dc.subject | X-ray | - |
dc.title | A study for non-rigid 2x2D-3D registration of coronary artery images using bifurcation points matching with bi-plane x-ray fluoroscopy | - |
dc.type | Conference | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.583 - 584 | - |
dc.citation.title | 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) | - |
dc.citation.startPage | 583 | - |
dc.citation.endPage | 584 | - |
dc.citation.conferencePlace | KO | - |
dc.citation.conferencePlace | 제주 | - |
dc.citation.conferenceDate | 2017-06-28 | - |
dc.relation.isPartOf | 2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI) | - |
dc.identifier.wosid | 000426976900150 | - |
dc.identifier.scopusid | 2-s2.0-85034228127 | - |
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