Please use this identifier to cite or link to this item:
https://doi.org/10.1007/978-3-642-37444-9_21
DC Field | Value | |
---|---|---|
dc.title | Registration of pre-operative CT and non-contrast-enhanced C-arm CT: An application to trans-catheter aortic valve implantation (TAVI) | |
dc.contributor.author | Lu, Y. | |
dc.contributor.author | Sun, Y. | |
dc.contributor.author | Liao, R. | |
dc.contributor.author | Ong, S.H. | |
dc.date.accessioned | 2014-06-19T03:25:34Z | |
dc.date.available | 2014-06-19T03:25:34Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Lu, Y.,Sun, Y.,Liao, R.,Ong, S.H. (2013). Registration of pre-operative CT and non-contrast-enhanced C-arm CT: An application to trans-catheter aortic valve implantation (TAVI). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7725 LNCS (PART 2) : 268-280. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-37444-9_21" target="_blank">https://doi.org/10.1007/978-3-642-37444-9_21</a> | |
dc.identifier.isbn | 9783642374432 | |
dc.identifier.issn | 03029743 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/71597 | |
dc.description.abstract | Trans-catheter Aortic Valve Implantation (TAVI) has proven to be an effective minimal-invasive alternative to traditional open-heart valve replacement surgery. Despite the success of contrast enhanced C-arm CT for intra-operative guidance during TAVI, utilization of pre-operative CT in the Hybrid Operating Room provides additional advantages of an improved workflow and minimized usage of contrast agent. In this paper, we propose a framework for CT/non-contrast-enhanced C-arm CT volume registration so that pre-operative CT can be used intra-operatively without additional contrast medium. The proposed method consists of two steps, rigid-body coarse alignment followed by deformable fine registration. Our contribution is twofold. First, robust heart center detection on both image modalities is used to boost the success rate of rigid-body registration. Second, a structural encoded similarity measure and anatomical correlation-regularized deformation fields are proposed to improve the performance of intensity-based deformable registration using the variational framework. Experiments were performed on ten sets of TAVI patient data, and the results have shown that the proposed method provides a highly robust and accurate registration. The resulting accuracy of 1.83 mm mean mesh-to-mesh error at the aortic root and the high efficiency of an average running time of 2 minutes on a common computer make it potentially feasible for clinical usage in TAVI. The proposed heart registration method is generic and hence can be easily applied to other cardiac applications. © 2013 Springer-Verlag. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-37444-9_21 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1007/978-3-642-37444-9_21 | |
dc.description.sourcetitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.description.volume | 7725 LNCS | |
dc.description.issue | PART 2 | |
dc.description.page | 268-280 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.