File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Motion-adapted catheter navigation with real-time instantiation and improved visualisation

TitleMotion-adapted catheter navigation with real-time instantiation and improved visualisation
Authors
KeywordsShape modelling
Endovascular intervention
Image-guided intervention
Minimally invasive surgery
Motion prediction
Robotic surgery
Issue Date2013
Citation
Journal of Robotic Surgery, 2013, v. 7, n. 3, p. 251-260 How to Cite?
AbstractThe improvements to catheter manipulation by the use of robot-assisted catheter navigation for endovascular procedures include increased precision, stability of motion and operator comfort. However, navigation through the vasculature under fluoroscopic guidance is still challenging, mostly due to physiological motion and when tortuous vessels are involved. In this paper, we propose a motion-adaptive catheter navigation scheme based on shape modelling to compensate for these dynamic effects, permitting predictive and dynamic navigations. This allows for timed manipulations synchronised with the vascular motion. The technical contribution of the paper includes the following two aspects. Firstly, a dynamic shape modelling and real-time instantiation scheme based on sparse data obtained intra-operatively is proposed for improved visualisation of the 3D vasculature during endovascular intervention. Secondly, a reconstructed frontal view from the catheter tip using the derived dynamic model is used as an interventional aid to user guidance. To demonstrate the practical value of the proposed framework, a simulated aortic branch cannulation procedure is used with detailed user validation to demonstrate the improvement in navigation quality and efficiency. © 2013 Springer-Verlag London.
Persistent Identifierhttp://hdl.handle.net/10722/199927
ISSN
2015 SCImago Journal Rankings: 0.216

 

DC FieldValueLanguage
dc.contributor.authorLee, Sulin-
dc.contributor.authorKwok, Kawai-
dc.contributor.authorWang, Lichao-
dc.contributor.authorRiga, Celia V.-
dc.contributor.authorBicknell, Colin D.-
dc.contributor.authorCheshire, Nicholas J W-
dc.contributor.authorYang, Guangzhong-
dc.date.accessioned2014-07-26T23:10:55Z-
dc.date.available2014-07-26T23:10:55Z-
dc.date.issued2013-
dc.identifier.citationJournal of Robotic Surgery, 2013, v. 7, n. 3, p. 251-260-
dc.identifier.issn1863-2483-
dc.identifier.urihttp://hdl.handle.net/10722/199927-
dc.description.abstractThe improvements to catheter manipulation by the use of robot-assisted catheter navigation for endovascular procedures include increased precision, stability of motion and operator comfort. However, navigation through the vasculature under fluoroscopic guidance is still challenging, mostly due to physiological motion and when tortuous vessels are involved. In this paper, we propose a motion-adaptive catheter navigation scheme based on shape modelling to compensate for these dynamic effects, permitting predictive and dynamic navigations. This allows for timed manipulations synchronised with the vascular motion. The technical contribution of the paper includes the following two aspects. Firstly, a dynamic shape modelling and real-time instantiation scheme based on sparse data obtained intra-operatively is proposed for improved visualisation of the 3D vasculature during endovascular intervention. Secondly, a reconstructed frontal view from the catheter tip using the derived dynamic model is used as an interventional aid to user guidance. To demonstrate the practical value of the proposed framework, a simulated aortic branch cannulation procedure is used with detailed user validation to demonstrate the improvement in navigation quality and efficiency. © 2013 Springer-Verlag London.-
dc.languageeng-
dc.relation.ispartofJournal of Robotic Surgery-
dc.subjectShape modelling-
dc.subjectEndovascular intervention-
dc.subjectImage-guided intervention-
dc.subjectMinimally invasive surgery-
dc.subjectMotion prediction-
dc.subjectRobotic surgery-
dc.titleMotion-adapted catheter navigation with real-time instantiation and improved visualisation-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11701-013-0423-2-
dc.identifier.scopuseid_2-s2.0-84883052493-
dc.identifier.volume7-
dc.identifier.issue3-
dc.identifier.spage251-
dc.identifier.epage260-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats