1. Angiovision: Aortic stent-graft placement by augmented angionavigation
- Author
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Michel Rochette, H. Walter-Le Berre, J. Marzelle, Adrien Kaladji, D. Roche, Aurélien Dumenil, P. Louat, Cemil Göksu, A. Cardon, Simon Esneault, J.-P. Becquemin, Antoine Lucas, G. Mouktadiri, Miguel Castro, Pascal Haigron, B. Bou Said, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), ANSYS France, ANSYS, Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] (LaMCoS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Therenva SAS, Vascular Surgery, CHI Créteil, CIC-IT Rennes, Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), French National Research Agency (ANR) through the TecSan program (project Angiovision No. ANR-09-TECS-003), Le Corre, Morgane, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), and ANR-09-TECS-0003,ANGIOVISION,Pose d'endoprothèse aortique par angionavigation augmentée(2009)
- Subjects
Engineering ,medicine.medical_specialty ,[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing ,Biomedical Engineering ,Biophysics ,030204 cardiovascular system & hematology ,Aortic stent ,03 medical and health sciences ,0302 clinical medicine ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Intraoperative fluoroscopy ,Computer equipment ,medicine ,cardiovascular diseases ,Endovascular treatment ,ComputingMilieux_MISCELLANEOUS ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,business.industry ,Open surgery ,Endovascular navigation ,medicine.disease ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,Abdominal aortic aneurysm ,3. Good health ,Visualization ,cardiovascular system ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Radiology ,[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation ,business ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,030217 neurology & neurosurgery - Abstract
The endovascular treatment of abdominal aortic aneurysm (EVAR - EndoVascular Aneurism Repair) has become an alternative therapy to conventional open surgery. The objective of Angiovision project was to contribute to the improvement of EVAR procedures in terms of accuracy and customization of the interventional strategy. Our approach was mainly based on the use of patient-specific data, computer-aided endovascular navigation and numerical simulation. We proposed a new FEM-based patient-specific simulation solution to estimate the deformations caused by the introduction of stiff endovascular devices. We developed and implemented an original endovascular navigation system to augment the intraoperative fluoroscopy with the visualization of deformed preoperative aorto-iliac structure, and related information concerning vessel wall (calcifications), as well as stent-graft virtual deployment. The proposed solution, that requires only lightweight computer equipment, can be used in a standard operating room in order to optimize device placement (from a single angle of incidence). Evaluation is currently under way.
- Published
- 2013
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