1. ZHAW digitalcollection
  2. Life Sciences und Facility Management
  3. Publikationen
  4. Publikationen Life Sciences und Facility Management
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGessat, Michael-
dc.contributor.authorHopf, Raoul-
dc.contributor.authorPollok, Thomas-
dc.contributor.authorRuss, Christoph-
dc.contributor.authorFrauenfelder, Thomas-
dc.contributor.authorSundermann, Simon Harald-
dc.contributor.authorHirsch, Sven-
dc.contributor.authorMazza, Edoardo-
dc.contributor.authorSzekely, Gabor-
dc.contributor.authorFalk, Volkmar-
dc.date.accessioned2018-12-06T13:15:50Z-
dc.date.available2018-12-06T13:15:50Z-
dc.date.issued2014-
dc.identifier.issn0018-9294de_CH
dc.identifier.issn1558-2531de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13619-
dc.description.abstractAn approach for extracting the radial force load on an implanted stent from medical images is proposed. To exemplify the approach, a system is presented which computes a radial force estimation from computer tomography images acquired from patients who underwent transcatheter aortic valve implantation (TAVI). The deformed shape of the implanted valve prosthesis' Nitinol frame is extracted from the images. A set of displacement vectors is computed that parameterizes the observed deformation. An iterative relaxation algorithm is employed to adapt the information extracted from the images to a finite-element model of the stent, and the radial components of the interaction forces between the stent and the tissue are extracted. For the evaluation of the method, tests were run using the clinical data from 21 patients. Stent modeling and extraction of the radial forces were successful in 18 cases. Synthetic test cases were generated, in addition, for assessing the sensitivity to the measurement errors. In a sensitivity analysis, the geometric error of the stent reconstruction was below 0.3 mm, which is below the image resolution. The distribution of the radial forces was qualitatively and quantitatively reasonable. An uncertainty remains in the quantitative evaluation of the radial forces due to the uncertainty in defining a radial direction on the deformed stent. With our approach, the mechanical situation of TAVI stents after the implantation can be studied in vivo, which may help to understand the mechanisms that lead to the complications and improve stent design.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Transactions on Biomedical Engineeringde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectBiomedical simulationde_CH
dc.subjectStent placementde_CH
dc.subjectCalcinosisde_CH
dc.subjectFinite element analysisde_CH
dc.subjectHeart valve prosthesis implantationde_CH
dc.subjectProsthesis designde_CH
dc.subject.ddc610: Medizin und Gesundheitde_CH
dc.subject.ddc617: Chirurgiede_CH
dc.titleImage-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stentsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
dc.identifier.doi10.1109/TBME.2013.2273496de_CH
dc.identifier.pmid24626769de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end15de_CH
zhaw.pages.start4de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume61de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBiomedical Simulationde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
There are no files associated with this item.
Show simple item record
Gessat, M., Hopf, R., Pollok, T., Russ, C., Frauenfelder, T., Sundermann, S. H., Hirsch, S., Mazza, E., Szekely, G., & Falk, V. (2014). Image-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stents. IEEE Transactions on Biomedical Engineering, 61(1), 4–15. https://doi.org/10.1109/TBME.2013.2273496
Gessat, M. et al. (2014) ‘Image-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stents’, IEEE Transactions on Biomedical Engineering, 61(1), pp. 4–15. Available at: https://doi.org/10.1109/TBME.2013.2273496.
M. Gessat et al., “Image-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stents,” IEEE Transactions on Biomedical Engineering, vol. 61, no. 1, pp. 4–15, 2014, doi: 10.1109/TBME.2013.2273496.
GESSAT, Michael, Raoul HOPF, Thomas POLLOK, Christoph RUSS, Thomas FRAUENFELDER, Simon Harald SUNDERMANN, Sven HIRSCH, Edoardo MAZZA, Gabor SZEKELY und Volkmar FALK, 2014. Image-based mechanical analysis of stent deformation : concept and exemplary implementation for aortic valve stents. IEEE Transactions on Biomedical Engineering. 2014. Bd. 61, Nr. 1, S. 4–15. DOI 10.1109/TBME.2013.2273496
Gessat, Michael, Raoul Hopf, Thomas Pollok, Christoph Russ, Thomas Frauenfelder, Simon Harald Sundermann, Sven Hirsch, Edoardo Mazza, Gabor Szekely, and Volkmar Falk. 2014. “Image-Based Mechanical Analysis of Stent Deformation : Concept and Exemplary Implementation for Aortic Valve Stents.” IEEE Transactions on Biomedical Engineering 61 (1): 4–15. https://doi.org/10.1109/TBME.2013.2273496.
Gessat, Michael, et al. “Image-Based Mechanical Analysis of Stent Deformation : Concept and Exemplary Implementation for Aortic Valve Stents.” IEEE Transactions on Biomedical Engineering, vol. 61, no. 1, 2014, pp. 4–15, https://doi.org/10.1109/TBME.2013.2273496.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.