Difference between revisions of "Collaboration:College of William and Mary"

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==Abstract==
 
==Abstract==
 
This project has 3 goals:  
 
This project has 3 goals:  
# deliver guaranteed quality image-to-mesh  conversion tools for non-rigid registration of brain MRI
+
# '''Deliver guaranteed quality Image-to-Mesh (I2M) conversion tools for non-rigid registration of brain MRI.''' Specifically, we are interested  to extend, for medical images, the traditional Delaunay-based mesh generation methods and develop a prototype software module for real-time I2M conversion that will simultaneous address four fundamental I2M conversion problems: image fidelity, sliver elimination, and guaranteed gradation and size optimality of the mesh as well termination of the FE-mesh process.
# develop parallel and distributed non-rigid registration of MRI images to   meet the   time constrains imposed by neurosurgery  
+
# '''Develop real-time non-rigid registration of MRI images to meet the time constrains imposed by neurosurgery.''' Specifically use cooperative hardware architectures (based on multi-core and GPUs) that can be easily deployed in (or next to) the Operating Room without hindering routine surgery procedures to implement real-time non-rigid registration software which is accurate and robust.
# improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.
+
# ''' improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.'''  Our first objective is to perform a feasibility study to exploit the use distributed grid computing resources in order to provide computational platform for image processing during image-guided neurosurgery. In addition we want to demonstrate that we can utilize the vast resources of nation-wide platforms like the TeraGrid to facilitate large experimental studies of image processing algorithms to improve our understanding of their behavior under different inputs.
  
 
==Grant==
 
==Grant==

Revision as of 02:50, 25 September 2009

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Abstract

This project has 3 goals:

  1. Deliver guaranteed quality Image-to-Mesh (I2M) conversion tools for non-rigid registration of brain MRI. Specifically, we are interested to extend, for medical images, the traditional Delaunay-based mesh generation methods and develop a prototype software module for real-time I2M conversion that will simultaneous address four fundamental I2M conversion problems: image fidelity, sliver elimination, and guaranteed gradation and size optimality of the mesh as well termination of the FE-mesh process.
  2. Develop real-time non-rigid registration of MRI images to meet the time constrains imposed by neurosurgery. Specifically use cooperative hardware architectures (based on multi-core and GPUs) that can be easily deployed in (or next to) the Operating Room without hindering routine surgery procedures to implement real-time non-rigid registration software which is accurate and robust.
  3. improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure. Our first objective is to perform a feasibility study to exploit the use distributed grid computing resources in order to provide computational platform for image processing during image-guided neurosurgery. In addition we want to demonstrate that we can utilize the vast resources of nation-wide platforms like the TeraGrid to facilitate large experimental studies of image processing algorithms to improve our understanding of their behavior under different inputs.

Grant

This project is a funded in part from NSF and John Simon Guggenheim Foundation

Key Personnel

  • Nikos Chrisochoides
  • Andrey Chernikov
  • Yixun Liu
  • Panagiotis Foteinos

Projects

Publications

CRTC publications by year

Resource Links

Center for Real-Time Computing