UB Virtual Reality Laboratory

Image Guided Surgery in Neuro-Endovascular Procedures

Goal
Assisting interventionalists in making decisions about accessibility by providing them with information on stent dimension, vessel curvatures and position and orientation of intervention devices.

Project Summary

Endovascular neurologic interventions are increasing in frequency and complexity. However, currently interventionalists judge accessibility using only subjective estimations from 2D angiograms. The aim of this project is to provide the interventionalist with information on stent dimensions, vessel tortuosity, accessibility, position and orientation of catheters, angioplasty balloons, and stents relative to vessel walls using angiography data.
Some of the research tasks involved are:
- Reconstruction of vessel geometry from angiograms with hollow vessel.
- Parametric surface fitting on point data for calculation of curvatures along the vessel.
- Calculation of proximity of device (catheter/balloon/stent) to vessel wall.
- Simulation of guidance of stent through the patient’s vascular anatomy.
- Develop an algorithm to find the best suited stent dimension for patient specific data.

FEM Based Guidewire Simulation
Haptic based surgical training requires real-time simulation of tool-organ interaction. Each subsequent step in this interaction would be based on the current configuration of the surgical tool (guidewire in this case). This necessitates a means to solve and visualize the current configuration of tool in real-time. This work aims at achieving this using FEM.

People
Dr. T. Kesavadas (Dept. of Mechanical Engineering)
Dr. Kenneth R Hoffmann (Toshiba Stroke Research Center)
Navneeth Subramanian (Dept. of Mechanical Engineering)
Suraj Bhat (Dept. of Mechanical Engineering)
Rajendra Agrawal (Dept. of Mechanical Engineering)

Sponsors
National Institute of Health and Toshiba Stroke Research Center

Publications
[1] Subramaniam, N., Kesavadas, T. and Hoffmann, K. R. “Geometry based metrics for planning of neuro-endovascular therapy”, To be presented at the Computer Assisted Radiology and Surgery Conference (CARS 04), Chicago, June 26, 2004. Also to appear in the proceedings.

[2] Subramaniam, N. and Kesavadas, T., “A Prototype Virtual Reality System for Preoperative Planning of Neuro-Endovascular Interventions”, Appeared in the proceedings of the Medicine Meets Virtual Reality (MMVR 12) in Newport Beach, CA, January 16-17, 2004.

Posters
[1] Kesavadas, T., Subramanian, N., Hoffmann, KR., Gopal, A., “Development of Virtual Tools with Intelligent Attributes for Neuro-Endovascular Intervention” Appear in Proceedings of Computer Assisted Radiology and Surgery 2003, 17th International Congress and Exhibition, London, UK. (Peer reviewed)

M.S. Thesis
[1] Navneeth Subramaniam, Fall 2003
Thesis: “A methodology for computing patient-specific information for vascular intervention”