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

• Real-time non-rigid registration
• Image to mesh conversion
• Speculative Execution for Non-Rigid Registration over the TeraGrid [1]

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

Funding

• A Novel Algoithmic 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