Interventional telemedicine for noninvasive neuroradiosurgery: remote-site high-performance computing, mathematical...

Area of Science:

• Medical Physics
• Computer Science
• Neurosurgery

Background:

• Minimally-Invasive Surgery and Stereotactic Radiosurgery (LINAC) involve complex data and versatile delivery systems.
• Access to specialized high-performance computing (HPC) and advanced software is crucial for optimizing treatment plans.
• Interventional Telemedicine offers a potential solution for remote access to these critical resources.

Purpose of the Study:

• To evaluate the utility of Interventional Telemedicine for accessing HPC resources for radiosurgery.
• To demonstrate the application of inverse solution optimization and virtual simulation for treatment planning.
• To assess the feasibility of using remote HPC for complex radiosurgical case resimulation.

Main Methods:

• Resimulation of retrospective radiosurgical case data using inverse solution optimization models.
• Utilizing workstation clusters for initial optimization.
• Volume rendering and virtual scenario simulation on a remote supercomputer (Princeton Graphics Engine).

Main Results:

• Successful resimulation of radiosurgical cases using remote HPC resources.
• Demonstrated effectiveness of inverse solution optimization and virtual simulation methods.
• Evidence supporting the utilization of remotely accessed HPC for advanced radiosurgery.

Conclusions:

• Interventional Telemedicine can provide essential connectivity to HPC for advanced clinical procedures.
• Remote access to specialized computing resources is viable for complex radiosurgery planning and simulation.
• This approach holds potential for supporting remote and non-urban radiosurgery centers globally.