A Dynamic Data Driven Grid System for Intra-operative Image Guided Neurosurgery

Abstract

Abstract. In the future, advanced biomechanical simulations of brain deformation during surgery will require access to multi-teraflop parallel hardware, supporting operating room infrastructure. This will allow surgeons to view images of intra-operative brain deformation within the strict time constraints of the surgical procedure -typically on the order of minutes, multiple times during a six or eight hour long surgery. In this paper we explore the grid infrastructure issues involved in scheduling, on-demand computing, data transfer and parallel finite element biomechanical simulation, which would guarantee that such a dynamic data driven real time application is actually feasible.

Dynamic Data Driven Applications Systems: New Capabilities for Application Simulations and Measurements

“…With the exception of project [16], all other projects [6][7][8][9][10][11][12][13][14][15][17][18][19] are predominantly funded by NSF ITR program [5]. Several papers address application simulations whose capabilities are enhanced by dynamic data inputs into the executing application/simulation.…”

“…Applications in [12][13][14] are in the areas of medical and biological sciences. The project in [12] uses the DDDAS concept to enable real-time intra-operative image guided neurosurgery, by developing applications and the underlying infrastructure to support such environments.…”

“…The project in [12] uses the DDDAS concept to enable real-time intra-operative image guided neurosurgery, by developing applications and the underlying infrastructure to support such environments. In [13] spectroscopic data are dynamically input into protein dynamics computations speeding-up and improving the fidelity of the computations.…”