A dynamic data driven grid system for intra-operative image guided neurosurgery

Authors:
Amit Majumdar;Adam Birnbaum;Dong Ju Choi;Abhishek Trivedi;Simon K. Warfield;Kim Baldridge;Petr Krysl
Affiliations:
San Diego Supercomputer Center, La Jolla, CA;San Diego Supercomputer Center, La Jolla, CA;San Diego Supercomputer Center, La Jolla, CA;Structural Engineering Department, University of California San Diego, La Jolla, CA;Computational Radiology Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;San Diego Supercomputer Center, La Jolla, CA;Structural Engineering Department, University of California San Diego, La Jolla, CA
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Year:
2005

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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.