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dc.contributor.author
Muñoz, Romina Luciana  
dc.contributor.author
Narata, Ana Paula  
dc.contributor.author
Larrabide, Ignacio  
dc.contributor.other
Martel, Anne L.  
dc.contributor.other
Abolmaesumi, Purang  
dc.contributor.other
Stoyanov, Danail  
dc.contributor.other
Mateus, Diana  
dc.contributor.other
Zuluaga, Maria A.  
dc.contributor.other
Zhou, S. Kevin  
dc.contributor.other
Racoceanu, Daniel  
dc.contributor.other
Joskowicz, Leo  
dc.date.available
2023-04-21T13:46:04Z  
dc.date.issued
2020  
dc.identifier.citation
ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment; Medical Image Computing and Computer Assisted Intervention; Lima; Perú; 2020; 97-105  
dc.identifier.isbn
978-3-030-59725-2  
dc.identifier.uri
http://hdl.handle.net/11336/194883  
dc.description.abstract
Intrasaccular devices, like Woven EndoBridge (WEB), are novel braided devices employed for the treatment of aneurysms with a complex shape and location, mostly terminal aneurysms. Such aneurysms are often challenging or impossible to treat with other endovascular techniques such as coils, stents, flow diverter stents. The selection of an appro- AQ1 priate endosaccular device size is crucial for a successful treatment and strongly depends of the final configuration that the device adopts when it adapts to the aneurysm sac morphology. This is frequently a problem during the intervention, leading to replacement of the device, reopening of the aneurysm or a need for re-treatment. A technique that allows predicting the released WEB configuration before intervention will provide a powerful computational tool to aid the interventionist during device selection. We propose a technique based on device design and aneurysm morphology that, by virtually deploying a WEB, will enable the assessment of different device sizes before the device implantation. This technique was tested on 6 MCA aneurysm cases and the simulation results were compared to the size of the deployed device on the patient, using post-treatment images.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
INTRACRANIAL ANEURYSM  
dc.subject
ENDOVASCULAR TREATMENT  
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WOVEN ENDOBRIDGE  
dc.subject.classification
Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-12-27T15:37:50Z  
dc.journal.volume
6  
dc.journal.pagination
97-105  
dc.journal.pais
Suiza  
dc.journal.ciudad
Cham  
dc.description.fil
Fil: Muñoz, Romina Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina  
dc.description.fil
Fil: Narata, Ana Paula. University Hospital of Southampton; Reino Unido  
dc.description.fil
Fil: Larrabide, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-59725-2_10  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-030-59725-2_10  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
Medical Image Computing and Computer Assisted Intervention  
dc.date.evento
2020-10-04  
dc.description.ciudadEvento
Lima  
dc.description.paisEvento
Perú  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
Medical Image Computing and Computer Assisted Intervention  
dc.source.libro
Medical Image Computing and Computer Assisted Intervention  
dc.date.eventoHasta
2020-10-08  
dc.type
Conferencia