title: Stent graft visualization and planning tool for endovascular surgery using finite element analysis.
abstract: OBJECTIVE
  A new approach to optimize stent graft selection for endovascular aortic repair is the use of finite element analysis. Once the finite element model is created and solved, a software module is needed to view the simulation results in the clinical work environment. A new tool for interpretation of simulation results, named Medical Postprocessor, that enables comparison of different stent graft configurations and products was designed, implemented and tested.
  
  
  METHODS
  Aortic endovascular stent graft ring forces and sealing states in the vessel landing zone of three different configurations were provided in a surgical planning software using the Medical Imaging Interaction Tool Kit (MITK) software system. For data interpretation, software modules for 2D and 3D presentations were implemented. Ten surgeons evaluated the software features of the Medical Postprocessor. These surgeons performed usability tests and answered questionnaires based on their experience with the system.
  
  
  RESULTS
  The Medical Postprocessor visualization system enabled vascular surgeons to determine the configuration with the highest overall fixation force in 16+/-6 s, best proximal sealing in 56+/-24s and highest proximal fixation force in 38+/- s. The majority considered the multiformat data provided helpful and found the Medical Postprocessor to be an efficient decision support system for stent graft selection. The evaluation of the user interface results in an ISONORM-conform user interface (113.5 points).
  
  
  CONCLUSIONS
  The Medical Postprocessor visualization software tool for analyzing stent graft properties was evaluated by vascular surgeons. The results show that the software can assist the interpretation of simulation results to optimize stent graft configuration and sizing.
authors.affiliation: Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany, sandra.vonsachsen@medizin.uni-leipzig.de.
authors.forename: S
authors.initials: S
authors.lastname: von Sachsen
authors.forename: B
authors.initials: B
authors.lastname: Senf
authors.forename: O
authors.initials: O
authors.lastname: Burgert
authors.forename: J
authors.initials: J
authors.lastname: Meixensberger
authors.forename: H J
authors.initials: HJ
authors.lastname: Florek
authors.forename: F W
authors.initials: FW
authors.lastname: Mohr
authors.forename: C D
authors.initials: CD
authors.lastname: Etz
mesh_terms: D001011:Aorta / Q000601:surgery*; D017544:Aortic Aneurysm, Abdominal / Q000601:surgery*; D057510:Endovascular Procedures / Q000379:methods*; D020342:Finite Element Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012984:Software; D015607:Stents; D016896:Treatment Outcome