Achim Schweikard, Research Associate
- Robotics Laboratory
- Department of Computer Science
- Stanford University
- Stanford, CA 94305
Office: Poplar 115, (415) 725-8811
New web page is here.
Planning a radiosurgical operation requires processing of complex
spatial information as well as making compromises between conflicting
geometric constraints. In current radiosurgical systems this planning
task is carried out manually by the surgeon. An interdisciplinary
project between the departments of Neurosurgery and the Robotics
Laboratory at Stanford University has been set up to develop geometric
algorithms for planning radiosurgical and radiotherapeutical
treatments. In the course of this project the treatment planning
system for the Neurotron-1000 robotic radiosurgical system has been
designed and implemented. Methods for collision-avoidance, accuracy
improvement, calibration, minimization of total radiation time as well
as total motion time were developed in the context of this planning
Further research interests include applications of geometric reasoning
techniques such as flexible collimation methods for radiotherapy and
- ( "General Translational Assembly Planning".
To appear: ICRA 97, (IEEE Int. Conf. Rob. Autom., 1997)
- ( "Robotic Radiosurgery with Beams of Adaptable Shapes",
in: LNCS 905, Computer Vision and Robotics in Medicine, N. Ayache
(ed.), 1995. )
- ( "Assembly Sequences for Polyhedra,"
Algorithmica, 13:539-552, 1995. )
- ( "Planning, Calibration and Collision Avoidance for Image-Guided Radiosurgery,"
Proc. IEEE Workshop Int. Robots and Systems, 854-861, 1994. )
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