SCIENTIFIC COMPUTING AND IMAGING INSTITUTE
at the University of Utah

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

SCI Publications

2000


L. Zhukov, D. Weinstein, C.R. Johnson. “Statistical Analysis For FEM EEG Source Localization in Realistic Head Models,” School of Computing Technical Report, No. UUCS-2000-003, University of Utah, February, 2000.


L. Zhukov, D.M. Weinstein, C.R. Johnson. “Reciprocity Basis for EEG Source Imaging,” In NeuroImage (suppl.), pp. 598. 2000.


L. Zhukov, D. Weinstein, C.R. Johnson. “Independent Component Analysis for EEG Source Localization in Realistic Head Models,” In IEEE Engineering in Medicine and Biology, Vol. 19, No. 3, pp. 87--96. 2000.

1999


D. Botstein, L. Smarr, D. Agard, M. Levitt, D. Lippman, D. Herrington, C.R. Johnson, G Rose, G. Rubin, A. Levison, M. Spence, H. Smith, C. Peskin, G. Jacobs. “NIH Biomedical Information Science and Technology Initiative (BISTI),” Note: Prepared by the Working Group on Biomedical Computing Advisory Committee to the Director, National Institutes of Health, July, 1999.

ABSTRACT

The biomedical community is increasingly taking advantage of the power of computing, both to manage and analyze data, and to model biological processes. The working group should investigate the needs of NIH-supported investigators for computing resources, including hardware, software, networking, algorithms, and training. It should take into account efforts to create a national information infrastructure, and look at working with other agencies (particularly NSF and DOE) to ensure that the research needs of the NIH-funded community are met.

It should also investigate the impediments biologists face in utilizing high-end computing, such as a paucity of researchers with cross-disciplinary skills. The panel should consider both today's unmet needs and the growing requirements over the next five years (a reasonable horizon for extrapolating the advances in the rapidly changing fields of computing and computational biology).

The result of deliberations should be a report to the NIH Director, which will be presented to the Advisory Committee to the Director. The report should include recommendations for NIH actions to support the growing needs of NIH-funded investigators for biomedical computing.


C.R. Johnson, S.G. Parker. “The SCIRun Parallel Scientific Computing Problem Solving Environment,” In Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999.


C.R. Johnson, S.G. Parker, C.D. Hansen, G.L. Kindlmann, Y. Livnat. “Interactive Simulation and Visualization,” In IEEE Computer, Vol. 32, No. 12, pp. 59--65. Dec, 1999.


M. Miller, C.D. Hansen, C.R. Johnson. “The SCIRun Problem Solving Environment: Implementation within a Distributed Environment,” In Ninth SIAM Conference on Parallel Processing for Scientific Computing, Note: extended abstract, 1999.


D.M. Weinstein, L. Zhukov, C.R. Johnson. “Lead Field Basis for FEM Source Localization,” School of Computing Technical Report, No. UUCS-99-014, University of Utah, Salt Lake City, UT October, 1999.


L. Zhukov, D.M. Weinstein, C.R. Johnson. “Independent Component Analysis For EEG Source Localization In Realistic Head Models,” In Third International Conference on Inverse Problems in Engineering, 1999.

1998


C.R. Johnson, R.S. MacLeod. “Adaptive local regularization methods for the inverse ECG problem,” In Progress in Biophysics and Biochemistry, Vol. 69, No. 2/3, pp. 405. Dec, 1998.


C.R. Johnson. “Computer Visualization in Medicine,” In National Forum, Vol. Fall, pp. 17--21. 1998.


C.R. Johnson, M. Berzins, L. Zhukov, R. Coffey. “SCIRun: Applications to Atmospheric Diffusion Using Unstructured Meshes,” In Numerical Methods for Fluid Dynamics VI, Edited by M.J. Baines, Oxford University Press, pp. 111--122. 1998.


M. Miller, C.D. Hansen, C.R. Johnson. “Simulation Steering with SCIRun in a Distributed Memory Environment,” In Lecture Notes in Computer Science, Springer-Verlag, In Applied Parallel Computing, 4th International Workshop, PARA'98, Lecture Notes in Computer Science, Vol. 1541, Edited by B. Kagstrom and J. Dongarra and E. Elmroth and J. Wasniewski, Springer-Verlag, Berlin pp. 366--376. 1998.


M. Miller, C.D. Hansen, S.G. Parker, C.R. Johnson. “Simulation Steering with SCIRun in a Distributed Memory Environment,” In Seventh IEEE International Symposium on High Performance Distributed Computing (HPDC-7), Jul, 1998.


S.G. Parker, M. Miller, C.D. Hansen, C.R. Johnson, P.-P. Sloan. “An Integrated Problem Solving Environment: The SCIRun Computational Steering System,” In 31st Hawaii International Conference on System Sciences (HICSS-31), Vol. VII, Edited by H. El-Rewini, pub-IEEE, pp. 147--156. January, 1998.


G.F. Potts, D.M. Weinstein, B.F. O'Donnell M.E., C.R. Johnson, R.W. McCarley. “Bioelectric Modeling of the P300 in Schizophrenia,” In Biological Psychiatry (suppl.), pp. 396. 1998.


R. Stevens, H. Fuchs, A. van Dam, P. Hanrahan, C.R. Johnson, C. McMillan, P. Heermann, S. Louis, T. Defanti, D. Reed, E. Cohen. “Data and Visualization Corridors: Report on the 1998 DVC Workshop Series,” Note: DOE Report, September, 1998.

ABSTRACT

The Department of Energy and the National Science Foundation sponsored a series of workshops on data manipulation and visualization of large-scale scientific datasets. Three workshops were held in 1998, bringing together experts in high-performance computing, scientific visualization, emerging computer technologies, physics, chemistry, materials science, and engineering. These workshops were followed by two writing and review sessions, as well as numerous electronic collaborations, to synthesize the results. The results of these efforts are reported here. Across the government, mission agencies are charged with understanding scientific and engineering problems of unprecedented complexity. The DOE Accelerated Strategic Computing Initiative, for example, will soon be faced with the problem of understanding the enormous datasets created by teraops simulations, while NASA already has a severe problem in coping with the flood of data captured by earth observation satellites. Unfortunately, scientific visualization algorithms, and high-performance display hardware and software on which they depend, have not kept pace with the sheer size of emerging datasets, which threaten to overwhelm our ability to conduct research. Our capability to manipulate and explore large datasets is growing only slowly, while human cognitive and visual perception are an absolutely fixed resource. Thus, there is a pressing need for new methods of handling truly massive datasets, of exploring and visualizing them, and of communicating them over geographic distances. This report, written by representatives from academia, industry, national laboratories, and the government, is intended as a first step toward the timely creation of a comprehensive federal program in data manipulation and scientific visualization. There is, at this time, an exciting confluence of ideas on data handling, compression, telepresence, and scientific visualization. The combination of these new ideas, which we refer to as Da ta and Visualization Corridors (DVC), can raise scientific data understanding to new levels and will improve the way science is practiced

1997


C.R. Johnson, D.M. Beazley, Y. Livnat, S.G. Parker, J.A. Schmidt, H.W. Shen, D.M. Weinstein. “Applications of Large-Scale Computing and Scientific Visualization in Medicine,” SCI Institute Technical Report, No. UUSCI-1997-001, University of Utah, 1997.


C.R. Johnson. “Computational and Numerical Methods for Bioelectric Field Problems,” In Critical Reviews in BioMedical Engineering, Vol. 25, No. 1, pp. 1--81. 1997.


R.N. Klepfer, C.R. Johnson, R.S. MacLeod. “The Effects of Inhomogeneities and Anisotropies on Electrocardiographic Fields: A Three-Dimensional Finite Element Study,” In IEEE Transactions on Biomedical Engineering, Vol. 44, No. 8, pp. 706--719. August, 1997.