SCIENTIFIC COMPUTING AND IMAGING INSTITUTE
at the University of Utah

An internationally recognized leader in visualization, scientific computing, and image analysis

SCI Publications

2001


Y. Livnat, C.D. Hansen, S.G. Parker, C.R. Johnson. “Isosurface extraction for large-scale datasets,” In Proceedings of Scientific Visualization -Dagstuhl`2000, Edited by F. Post, 2001.


J. McCorquodale, J.D. de St. Germain, S.G. Parker, C.R. Johnson. “The Uintah Parallelism Infrastructure: A Performance Evaluation on the SGI Origin 2000,” In Proceedings of The 5th International Conference on High-Performance Computing, Seattle, Mar, 2001.


M. Miller, C. Moulding, J. Dongarra, C.R. Johnson. “Grid-enabling Problem Solving Environments: A Case Study of SCIRun and Netsolv,” In Proceedings of The 5th International Conference on High-Performance Computing, 2001 Advanced Simulation Technologies Conference, Society for Modeling and Simulation International, pp. 98--103. April, 2001.


O. Portniaguine, D.M. Weinstein, C.R. Johnson. “Focusing Inversion of Electroencephalography and Magnetoencephalography Data,” In 3rd International Symposium On Noninvasive Functional Source Imaging, Journal of Biomedizinische Technik (special issue), Vol. 46, Innsbruck, Austria pp. 115--117. Sep, 2001.


R. Rawat, S.G. Parker, P.J. Smith, C.R. Johnson. “Parallelization and Integration of Fire Simulations in the Uintah PSE,” In Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, Portsmouth, Virginia, March 12-14, 2001.


R. Van Uitert, D. Weinstein, C.R. Johnson, L. Zhukov. “Finite Element EEG and MEG Simulations for Realistic Head Models: Quadratic vs. Linear Approximations,” In Biomed. Technik, Vol. 46, pp. 32--34. 2001.


R. Westermann, C.R. Johnson, T. Ertl. “Topology Preserving Smoothing of Vector Fields,” In IEEE Trans. Vis & Comp. Graph., Vol. 7, No. 3, pp. 222--229. 2001.
DOI: 10.1109/2945.942690

ABSTRACT

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Proposes a technique for topology-preserving smoothing of sampled vector fields. The vector field data is first converted into a scalar representation in which time surfaces implicitly exist as level sets. We then locally analyze the dynamic behavior of the level sets by placing geometric primitives in the scalar field and by subsequently distorting these primitives with respect to local variations in this field. From the distorted primitives, we calculate the curvature normal and we use the normal magnitude and its direction to separate distinct flow features. Geometrical and topological considerations are then combined to successively smooth dense flow fields, at the same time retaining their topological structure.

Keywords: vector field methods, ip image processing signal processing, surface processing, ncrr


L. Zhukov, D.M. Weinstein, C.R. Johnson, R.S. Macleod. “Spatio-temporal Multi-dipole Source Localization Using ICA and Lead-Fields in FEM Head Models,” In Proceedings of the IEEE Engineering in Medicine and Biology Society 23rd Annual International Conference, Istanbul, Turkey Oct, 2001.

2000


R. Bramley, C.R. Johnson, D. Gannon, J. Reynders, T. Hewett, J. Rice. “Workshop on Scientific Knowledge, Information and Computing, SIDEKIC 98,” In Enabling Technologies for Computational Science, Springer, pp. 19-32. 2000.
DOI: 10.1007/978-1-4615-4541-5_2

ABSTRACT

On 4-5 December 1998 researchers from several universities, national laboratories, software companies, and government funding agencies met at Santa Fe, NM for the 1998 Scientific Integrated Development Environments for Knowledge, Information, and Computing Workshop. The purpose of this meeting was to summarize the state-of-the-art in the area of problem-solving environments (PSEs) for scientific and engineering computation, and to map out directions for future research in the area. This report presents some of the results from the meeting and recommends promising areas for further work. This report begins with a justification of the need for PSEs, which are also commonly called computational workbenches. Next a listing of characteristics that many PSEs share is presented, followed by a small sample listing of current systems. Design goals and future directions, with an emphasis on research issues, are outlined, followed by summary findings and conclusions.


J.D. Brederson, M. Ikits, C.R. Johnson, C.D. Hansen, J.M. Hollerbach. “The Visual Haptic Workbench,” In Proceedings of the Fifth PHANToM Users Group Workshop, pp. 46--49. October, 2000.


A. Deshmukh, C.C. Douglas, M. Ball, R.E. Ewing, C.R. Johnson, C. Kesselman, C. Lee. “Dynamic Data Driven Application Systems: Creating a dynamic and symbiotic coupling of application/simulations with measurements/experiments,” Note: 28 pages, Edited by W. Powell, R. Sharpley, National Science Foundation, 2000.


J.D. de St. Germain, J. McCorquodale, S.G. Parker, C.R. Johnson. “Uintah: A Massively Parallel Problem Solving Environment,” In Ninth IEEE International Symposium on High Performance and Distributed Computing, IEEE, Piscataway, NJ, pp. 33--41. Nov, 2000.


C.R. Johnson, S.G. Parker, D. Weinstein. “Large-Scale Computational Science Applications Using the SCIRun Problem Solving Environment,” In Proceedings of The International Supercomputer Conference 2000, 2000.


Y. Livnat, S.G. Parker, C.R. Johnson. “Fast Isosurface Extraction Methods for Large Image Data Sets,” In Handbook of Medical Imaging, Edited by A.N. Bankman, Academic Press, San Diego, CA pp. 731--745. Nov, 2000.


S.G. Parker, M. Miller, C.D. Hansen, C.R. Johnson. “Computational Steering and the SCIRun Integrated Problem Solving Environment,” In Proceedings of Dagstuhl 1997 Workshop on Scientific Visualization, Note: Invited and peer reviewed, Edited by Hans Hagen and Greg Nielson and Frits Post, pp. 257--266. 2000.


D.M. Weinstein, L. Zhukov, C.R. Johnson. “Lead-Field Bases for EEG Source Imaging,” In Annal. Biomed. Eng., Vol. 28, No. 9, pp. 1059--1065. Sep, 2000.


D.M. Weinstein, L. Zhukov, C.R. Johnson. “An Inverse EEG Problem Solving Environment and its Applications to EEG Source Localization,” In NeuroImage (suppl.), pp. 921. 2000.


D.M. Weinstein, L. Zhukov, C.R. Johnson, S.G. Parker, R. Van Uitert, R.S. MacLeod, C.D. Hansen. “Interactive Source Imaging with BioPSE,” In Chicago 2000 World Congress on Medical Physics and Biomedical Engineering, Chicago, IL., Note: Refereed abstract., July, 2000.


D.M. Weinstein, P. Krysl, C.R. Johnson. “The BioPSE Inverse EEG Modeling Pipeline,” In ISGG 7th International Conference on Numerical Grid Generation in Computation Field Simulations, The International Society of Grid Generation, Mississippi State University pp. 1091--1100. 2000.


R. Westermann, C.R. Johnson, T. Ertl. “A Level-Set Method for Flow Visualization,” In Proceeding of IEEE Visualization 2000, IEEE Computer Society, Salt Lake City pp. 147--154. 2000.