Research Interests:

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 
system.

Further research interests include applications of geometric
reasoning techniques such as flexible collimation 
methods for radiotherapy and assembly planning.