funcLAB/G—service-oriented architecture for standards-based analysis of functional magnetic resonance imaging in HealthGrids

Functional MRI is successfully being used in clinical and research applications including preoperative planning, language mapping, and outcome monitoring. However, clinical use of fMRI is less widespread due to its complexity of imaging, image workflow, post-processing, and lack of algorithmic standards hindering result comparability. As a consequence, wide-spread adoption of fMRI as clinical tool is low contributing to the uncertainty of community physicians how to integrate fMRI into practice. In addition, training of physicians with fMRI is in its infancy and requires clinical and technical understanding. Therefore, many institutions which perform fMRI have a team of basic researchers and physicians to perform fMRI as a routine imaging tool. In order to provide fMRI as an advanced diagnostic tool to the benefit of a larger patient population, image acquisition and image post-processing must be streamlined, standardized, and available at any institution which does not have these resources available. Here we describe a software architecture, the functional imaging laboratory (funcLAB/G), which addresses (i) standardized image processing using Statistical Parametric Mapping and (ii) its extension to secure sharing and availability for the community using standards-based Grid technology (Globus Toolkit). funcLAB/G carries the potential to overcome the limitations of fMRI in clinical use and thus makes standardized fMRI available to the broader healthcare enterprise utilizing the Internet and HealthGrid Web Services technology.

[1]  Carl Kesselman,et al.  Globus MEDICUS - Federation of DICOM Medical Imaging Devices into Healthcare Grids , 2007, HealthGrid.

[2]  R. Kikinis,et al.  Toward Real-Time Image Guided Neurosurgery Using Distributed and Grid Computing , 2006, ACM/IEEE SC 2006 Conference (SC'06).

[3]  Lee Friedman,et al.  Report on a multicenter fMRI quality assurance protocol , 2006, Journal of magnetic resonance imaging : JMRI.

[4]  Ian T. Foster,et al.  Globus Toolkit Version 4: Software for Service-Oriented Systems , 2005, Journal of Computer Science and Technology.

[5]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[6]  Steven Tuecke,et al.  The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration , 2002 .

[7]  J. Mazziotta,et al.  Brain Mapping: The Methods , 2002 .

[8]  Jennifer M. Schopf,et al.  A performance study of monitoring and information services for distributed systems , 2003, High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on.

[9]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[10]  Josien P. W. Pluim,et al.  Image registration , 2003, IEEE Transactions on Medical Imaging.

[11]  Josien P. W. Pluim,et al.  Image Registration , 2003, IEEE Trans. Medical Imaging.

[12]  F. Kruggel,et al.  Quasi-real-time neurosurgery support by MRI processing via grid computing. , 2005, Neurosurgery clinics of North America.

[13]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Ignacio Blanquer,et al.  Using the Grid to Analyze the Pharmacokinetic Modelling after Contrast Administration in Dynamic MRI , 2006, HealthGrid.

[15]  Ian T. Foster,et al.  The anatomy of the grid: enabling scalable virtual organizations , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.

[16]  Ravi S. Menon,et al.  Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Olivier Clatz,et al.  Imaging and visual analysis - Toward real-time image guided neurosurgery using distributed and grid computing , 2006, SC.

[18]  Alejandro F. Frangi,et al.  Parametric Optimization of a Model-Based Segmentation Algorithm for Cardiac MR Image Analysis: A Grid-Computing Approach , 2005, HealthGrid.

[19]  Karl J. Friston,et al.  Multisubject fMRI Studies and Conjunction Analyses , 1999, NeuroImage.

[20]  Robert G. Belleman,et al.  Towards A Virtual Laboratory for fMRI Data Management and Analysis , 2006, HealthGrid.

[21]  R. Turner,et al.  Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.

[22]  Hugues Benoit-Cattin,et al.  Magnetic Resonance Imaging (MRI) Simulation on EGEE Grid Architecture: A Web Portal Design , 2006, HealthGrid.

[23]  Karl J. Friston,et al.  Analysis of functional MRI time‐series , 1994, Human Brain Mapping.