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

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(New page: This project is a funded in part from NSF and John Simon Guggenheim Foundation and its goals are three: (1) deliver guaranteed quality image-to-mesh conversion tools for non-rigid regis...)
 
 
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Back to [[NA-MIC_External_Collaborations|NA-MIC External Collaborations]]
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==Abstract==
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This project has 3 goals:
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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.
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#'''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.
  
This project is a funded in part from NSF and John Simon Guggenheim Foundation and its goals are three: (1) deliver guaranteed quality  image-to-mesh  conversion tools for non-rigid registration of brain MRI, (2) develop parallel and distributed non-rigid registration of MRI images to  meet the  time constrains imposed  by neurosurgery and (3) improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.
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==Grant==
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This project is a funded in part from NSF and John Simon Guggenheim Foundation
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==Key Personnel==
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*College of William & Mary: Nikos Chrisochoides, PI, Andrey Chernikov, Yixun Liu, Panagiotis Foteinos
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*NA-MIC: Andriy Fedorov
  
Collaboration with Nikos Chrisochoides from Center for Real-Time Computing.
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==Projects==
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* [http://crtc.wm.edu/html_output/medical_image_anal.htm Real-time non-rigid registration]
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* [http://crtc.wm.edu/html_output/mesh_generation_for_medical_imaging.htm Image to mesh conversion]
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* [http://www.wm.edu/as/computerscience/documents/cstechreports/WM-CS-2009-05.pdf Speculative Execution for Non-Rigid Registration over the TeraGrid]
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==Publications==
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* Chrisochoides N., Fedorov A., Kot A., Archip N., Black P.M., Clatz O., Golby A.J., Kikinis R., Warfield S.K.  [http://www.na-mic.org/publications/item/view/44 Toward Real-Time Image Guided Neurosurgery using Distributed and Grid Computing.] Proceedings of the ACM/IEEE conference on Supercomputing 2006 Oct; 37-50.
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* Fedorov A., Chrisochoides N., Kikinis R., Warfield S.K.  [http://www.na-mic.org/publications/item/view/37 An Evaluation of Three Approaches to Tetrahedral Mesh Generation for Deformable Registration of Brain MR Images.] Proc IEEE Int Symp Biomed Imaging. 2006 Apr; 658-61.
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* Fedorov A., Billet E., Prastawa M., Gerig G., Radmanesh A., Warfield S.K., Kikinis R., Chrisochoides N.  [http://www.na-mic.org/publications/item/view/1711 Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures.] The 4th International Symposium on Visual Computing 2008 Dec; LNCS 5358:594-603.
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* Fedorov A., Chrisochoides N. [http://crtc.wm.edu/papers/conf_74.pdf Tetrahedral Mesh Generation for Non-Rigid Registration of Brain MRI: Analysis of the Requirements and Evaluation of Solutions.] 17th International Meshing Roundtable, 2008.
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* Y.Liu, A.Fedorov, R.Kikinis, N.Chrisochoides [http://crtc.wm.edu/papers/conf_94.pdf Real-time Non-rigid Registration of Medical Images on a Cooperative Parallel Architecture.] IEEE International Conference on Bioinformatics & Biomedicine, 2009.
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* [http://crtc.wm.edu/html_output/publications_by_year.htm CRTC publications by year]
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==Funding==
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* A Novel Algorithmic Approach for Real-Time Image-to-Mesh Conversion of Brain MRI, 09/01/2009-08/31/2012, grant No. NSF CCF-0916526
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* A Multi-Layered Finite Element Application and Runtime System  for Scalable High-End Computer Architectures, 09/01/2008-08/31/2011, grant No. NSF CCF-0833081
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* Software Environment for Real-Time Non-Rigid Registration using Commodity and Grid Computing, 09/01/2007-08/31/2010, grant No. NSF CNS-719929.
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* Three-Dimensional Generalized Parallel Delaunay Mesh Generation for the Numerical Solution of Partial Differential Equations, 09/15/2007-02/28/2009, grant No. NSF CCF-0750901.
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==Resource Links==
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[http://crtc.wm.edu Center for Real-Time Computing]

Latest revision as of 17:04, 14 December 2016

Home < Collaboration:College of William and Mary

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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

  • College of William & Mary: Nikos Chrisochoides, PI, Andrey Chernikov, Yixun Liu, Panagiotis Foteinos
  • NA-MIC: Andriy Fedorov

Projects

Publications

Funding

  • A Novel Algorithmic Approach for Real-Time Image-to-Mesh Conversion of Brain MRI, 09/01/2009-08/31/2012, grant No. NSF CCF-0916526
  • A Multi-Layered Finite Element Application and Runtime System for Scalable High-End Computer Architectures, 09/01/2008-08/31/2011, grant No. NSF CCF-0833081
  • Software Environment for Real-Time Non-Rigid Registration using Commodity and Grid Computing, 09/01/2007-08/31/2010, grant No. NSF CNS-719929.
  • Three-Dimensional Generalized Parallel Delaunay Mesh Generation for the Numerical Solution of Partial Differential Equations, 09/15/2007-02/28/2009, grant No. NSF CCF-0750901.

Resource Links

Center for Real-Time Computing