Remote injection system for vascular intervention for treatment of CTO
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hanbyeol | - |
dc.contributor.author | Cha, Hyo jeong | - |
dc.contributor.author | Yi, Byung ju | - |
dc.date.accessioned | 2021-06-22T15:22:31Z | - |
dc.date.available | 2021-06-22T15:22:31Z | - |
dc.date.issued | 2017-07 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11582 | - |
dc.description.abstract | The vascular intervention is performed with radioactive image guidance, so the operators are exposed to radiation. During the vascular intervention, the contrast media is injected often for providing clear images of target lesion. Repetitive injection task increases the procedure time and inconvenience. Also, accurate dosage is important to avoid the side effects from over usage of the contrast media. This work proposes a remote injection system that can remotely inject a contrast media by accurate dosage to reduce radiation exposure for treatment of CTO. The performance of the remote injection system was verified through experiments. © 2017 IEEE. | - |
dc.format.extent | 3 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Remote injection system for vascular intervention for treatment of CTO | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/URAI.2017.7992840 | - |
dc.identifier.scopusid | 2-s2.0-85034219525 | - |
dc.identifier.wosid | 000426976900220 | - |
dc.identifier.bibliographicCitation | 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, pp 841 - 843 | - |
dc.citation.title | 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017 | - |
dc.citation.startPage | 841 | - |
dc.citation.endPage | 843 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Contrast media | - |
dc.subject.keywordPlus | Intelligent robots | - |
dc.subject.keywordPlus | Robots | - |
dc.subject.keywordPlus | CTO (Chronicle total occlusion) | - |
dc.subject.keywordPlus | Injection systems | - |
dc.subject.keywordPlus | Master-slave robot system | - |
dc.subject.keywordPlus | Radiation Exposure | - |
dc.subject.keywordPlus | Vascular interventions | - |
dc.subject.keywordPlus | Ambient intelligence | - |
dc.subject.keywordAuthor | CTO (Chronicle total occlusion) | - |
dc.subject.keywordAuthor | master-slave robot system | - |
dc.subject.keywordAuthor | radiation exposure | - |
dc.subject.keywordAuthor | remote injection system | - |
dc.subject.keywordAuthor | Vascular intervention | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7992840 | - |
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