Award Abstract #0426558
ITR: Collaborative Research - \(ASE\) - \(DMC\): DDDAS: A Novel Grid Architecture Integrating Real-Time Data and Intervention During Image Guided Therapy

NSF Org:	CNS Division of Computer and Network Systems
Initial Amendment Date:	September 15, 2004
Latest Amendment Date:	November 30, 2007
Award Number:	0426558
Award Instrument:	Continuing grant
Program Manager:	Anita J. LaSalle CNS Division of Computer and Network Systems CSE Directorate for Computer & Information Science & Engineering
Start Date:	October 1, 2004
Expires:	September 30, 2008 (Estimated)
Awarded Amount to Date:	$325000
Investigator(s):	Simon Warfield warfield@bwh.harvard.edu (Principal Investigator)
Sponsor:	Brigham & Women's Hospital Inc 75 Francis Street Boston, MA 02115 617/954-9660
NSF Program(s):	ITR-INFORMATION INTEGRATION, ITR FOR NATIONAL PRIORITIES
Field Application(s):	0000912 Computer Science
Program Reference Code(s):	HPCC, 9218
Program Element Code(s):	7373, 7314

ABSTRACT

The project's research involves development and deployment of an integrated and practical grid

architecture for data driven intra-operative volumetric simulation of brain deformation during

image guided therapy (IGT) and specifically for image guided neurosurgery (IGNS) to be

employed in the operating room of the future. Preliminary work has resulted in a prototype

dynamic data driven system, which resides locally in the operating room for IGNS that integrates

data acquisition, surgical navigation, quantitative monitoring and enhanced real-time control. The

proposed project will enable improvement in the safety and efficacy of brain tumor resection by

extending the current system with a tightly coupled capability for interactively steered and

adaptive data driven simulation of the dynamically shifting shape of the brain. Such simulation

capability, integrated with real-time intra-operative data acquisition capability and real-time

surgical resection, requires on-demand low latency fault tolerant robust and reliable access to

remotely located significant compute capacity and data management resources from the operating

room. Recent advances in grid infrastructure hold out the promise to pioneer such capability. The

overall objective of this projectl is the development of a novel grid architecture integrating real-

time data to allow intra-operative surgical decision-making and navigation during IGT. In

addition this will provide database infrastructure for post-surgical analysis and modeling of data

and image repositories. The project's information technology (IT) research is expected to have

broad impact on clinical practice within a period of a few years.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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