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Thrombus volume change visualization after endovascular abdominal aortic aneurysm repair

  • Josu Maiora*
  • , Guillermo García
  • , Iván Macía
  • , Jon Haitz Legarreta
  • , Fernando Boto
  • , Céline Paloc
  • , Manuel Graña
  • , Javier Sanchez Abuín
  • *Autor correspondiente de este trabajo
  • VICOMTech

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

A surgical technique currently used in the treatment of Abdominal Aortic Aneurysms (AAA) is the Endovascular Aneurysm Repair (EVAR). This minimally invasive procedure involves inserting a prosthesis in the aortic vessel that excludes the aneurysm from the bloodstream. The stent, once in place acts as a false lumen for the blood current to travel down, and not into the surrounding aneurysm sac. This procedure, therefore, immediately takes the pressure off the aneurysm, which thromboses itself after some time. Nevertheless, in a long term perspective, different complications such as prosthesis displacement or bloodstream leaks into or from the aneurysmatic bulge (endoleaks) could appear causing a pressure elevation and, as a result, increasing the danger of rupture. The purpose of this work is to explore the application of image registration techniques to the visual detection of changes in the thrombus in order to assess the evolution of the aneurysm. Prior to registration, both the lumen and the thrombus are segmented

Idioma originalInglés
Título de la publicación alojadaHybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
Páginas524-531
Número de páginas8
EdiciónPART 1
DOI
EstadoPublicada - 2010
Publicado de forma externa
Evento5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010 - San Sebastian, Espana
Duración: 23 jun 201025 jun 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NúmeroPART 1
Volumen6076 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
País/TerritorioEspana
CiudadSan Sebastian
Período23/06/1025/06/10

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