Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | SIYEOP YOON | - |
dc.contributor.author | Stephen Baek | - |
dc.contributor.author | Lee, Deukhee | - |
dc.date.accessioned | 2024-01-12T05:43:02Z | - |
dc.date.available | 2024-01-12T05:43:02Z | - |
dc.date.created | 2021-09-29 | - |
dc.date.issued | 2018-09 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/79072 | - |
dc.description.abstract | In this paper, we present a novel method for the real-time cardiac motion compensation. Our method generates interpolated cardiac motion using segmented mesh models from preoperative 3D+T computed tomography angiography (CTA). We propose a pair-wise mesh registration technique for building correspondence and interpolating the control points over a cardiac cycle. The key contribution of this work is a rapid creation of a deformation field through a concise mathematical formulation while maintaining desired properties. These are C 2 continuity, invertibility, incompressibility of cardiac structure and capability to handling large deformation. And we evaluated the proposed method using different conditions, such as deformation resolution, temporal sampling rates, and template model selection. | - |
dc.language | English | - |
dc.publisher | MICCAI | - |
dc.title | 4D Cardiac Motion Modeling Using Pair-Wise Mesh Registration | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1007/978-3-030-12029-0_18 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, pp.161 - 170 | - |
dc.citation.title | 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 | - |
dc.citation.startPage | 161 | - |
dc.citation.endPage | 170 | - |
dc.citation.conferencePlace | GE | - |
dc.citation.conferencePlace | Granada, Spain | - |
dc.citation.conferenceDate | 2018-09-16 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.identifier.scopusid | 2-s2.0-85064048786 | - |
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