Configuration-space technique for calculating stent-fitness measures for the planning of Neuro-endovascular interventions

Thenkurussi Kesavadas, Rajendra Agrawal, Kenneth R. Hoffmann

Research output: Contribution to journalConference articlepeer-review


This paper demonstrates a new technique to compute stent-fitness measures for a vascular anatomy, using geometric information. This technique will aid the interventionalist in treatment planning for Neuro-endovascular interventions. Patient-specific vessel-surface reconstruction is performed from point/contour data without user intervention. The technique developed is based on configuration-space algorithms, which are widely used in robot motion planning. A fitness measure is computed for stents with various parameters for a patient-specific vessel data. Finally, a simulation is performed to check for collisions. This feature will provide an additional tool to the interventionalist for the planning of neuro-endovascular interventions, with the dimensions of the stent based on proximal and distal neck of the aneurysm for a patient-specific vascular anatomy.

Original languageEnglish (US)
Article number21
Pages (from-to)191-199
Number of pages9
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Issue numberI
StatePublished - 2005
Externally publishedYes
EventMedical Imaging 2005 - Visualization, Image-Guided Procedures, and Display - San Diego, CA, United States
Duration: Feb 13 2005Feb 15 2005


  • Configuration-space
  • Image guided interventions
  • Stent accessibility
  • Stent-fitness measures
  • Surgery planning
  • Vessel geometry

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging
  • Biomaterials


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