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

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# '''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.  
 
# '''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 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.  
 
# '''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.  
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# ''' 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.
+
# '''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==
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==Publications==
 
==Publications==
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[http://crtc.wm.edu/html_output/publications_by_year.htm CRTC publications by year]
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* N.Chrisochoides, A.Fedorov, A.Kot, N.Archip, P.Black, O.Clatz, A.Golby, R.Kikinis, S.K.Warfield "Toward Real-Time, Image Guided Neurosurgery Using Distributed and Grid Computing" IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing), 2006 [http://crtc.wm.edu/papers/conf_67.pdf pdf]
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* A.Fedorov, N.Chrisochoides, R.Kikinis, S.K.Warfield "An evaluation of three approaches to tetrahedral mesh generation for deformable registration of brain MR images" ISBI 2006 [http://crtc.wm.edu/papers/conf_66.pdf pdf]
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* A.Fedorov, E.Billet, M.Prastawa, A.Radmanesh, G.Gerig, R.Kikinis, S.K.Warfield, N.Chrisochoides "Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures" 4th International Symposium on Visual Computing, 2008 [http://crtc.wm.edu/papers/conf_88.pdf pdf]
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* A.Fedorov and N.Chrisochoides " Tetrahedral Mesh Generation for Non-Rigid Registration of Brain MRI: Analysis of the Requirements and Evaluation of Solutions" 17th International Meshing Roundtable, 2008 [http://crtc.wm.edu/papers/conf_74.pdf pdf]
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* Y.Liu, A.Fedorov, R.Kikinis, N.Chrisochoides "Real-time Non-rigid Registration of Medical Images on a Cooperative Parallel Architecture" IEEE International Conference on Bioinformatics & Biomedicine, 2009 (accepted) [http://crtc.wm.edu/papers/conf_94.pdf pdf]
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* [http://crtc.wm.edu/html_output/publications_by_year.htm CRTC publications by year]
  
 
==Resource Links==
 
==Resource Links==
 
[http://crtc.wm.edu Center for Real-Time Computing]
 
[http://crtc.wm.edu Center for Real-Time Computing]

Revision as of 04:09, 27 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

  • N.Chrisochoides, A.Fedorov, A.Kot, N.Archip, P.Black, O.Clatz, A.Golby, R.Kikinis, S.K.Warfield "Toward Real-Time, Image Guided Neurosurgery Using Distributed and Grid Computing" IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing), 2006 pdf
  • A.Fedorov, N.Chrisochoides, R.Kikinis, S.K.Warfield "An evaluation of three approaches to tetrahedral mesh generation for deformable registration of brain MR images" ISBI 2006 pdf
  • A.Fedorov, E.Billet, M.Prastawa, A.Radmanesh, G.Gerig, R.Kikinis, S.K.Warfield, N.Chrisochoides "Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures" 4th International Symposium on Visual Computing, 2008 pdf
  • A.Fedorov and N.Chrisochoides " Tetrahedral Mesh Generation for Non-Rigid Registration of Brain MRI: Analysis of the Requirements and Evaluation of Solutions" 17th International Meshing Roundtable, 2008 pdf
  • Y.Liu, A.Fedorov, R.Kikinis, N.Chrisochoides "Real-time Non-rigid Registration of Medical Images on a Cooperative Parallel Architecture" IEEE International Conference on Bioinformatics & Biomedicine, 2009 (accepted) pdf
  • CRTC publications by year

Resource Links

Center for Real-Time Computing

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