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

被引:0
|
作者
Majumdar, A [1 ]
Birnbaum, A
Choi, DJ
Trivedi, A
Warfield, SK
Baldridge, K
Krysl, P
机构
[1] San Diego Supercomp Ctr, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Struct Engn, La Jolla, CA 92093 USA
[3] Harvard Univ, Brigham & Womens Hosp, Sch Med, Computat Radiol Lab, Boston, MA USA
[4] Univ Zurich, Dept Chem, Zurich, Switzerland
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中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
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页码:672 / 679
页数:8
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