Paper
12 April 2005 Configuration-space technique for calculating stent-fitness measures for the planning of neuro-endovascular interventions
Thenkurussi Kesavadas, Rajendra Agrawal, Kenneth R. Hoffmann
Author Affiliations +
Abstract
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thenkurussi Kesavadas, Rajendra Agrawal, and Kenneth R. Hoffmann "Configuration-space technique for calculating stent-fitness measures for the planning of neuro-endovascular interventions", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.594544
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Cited by 1 scholarly publication.
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KEYWORDS
Tolerancing

Algorithm development

Reconstruction algorithms

Clouds

Data acquisition

3D acquisition

3D vision

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