Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

SCI Publications

2003


A.E. Lefohn, J.M. Kniss, C.D. Hansen, R.T. Whitaker. “Interactive Deformation and Visualization of Level Set Surfaces Using Graphics Hardware,” In IEEE Visualization 2003, Seattle, Wa., pp. 75--82. October, 2003.



A.E. Lefohn, J. Cates, R.T. Whitaker. “Interactive, GPU-Based Level Sets for 3D Brain Tumor Segmentation,” Technical Report, No. UUCS-03-004, University of Utah School of Computing, 2003.



A.E. Lefohn, R.T. Caruso, E. Reinhard, B. Budge, P. Shirley. “An Ocularist's Approach to Human Iris Synthesis,” In IEEE Computer Graphics and Applications, Vol. 23, No. 6, pp. 70--75. 2003.



A.E. Lefohn, J.M. Kniss, C.D. Hansen, R.T. Whitaker. “Interactive Deformation and Visualization of Level Set Surfaces Using Graphics Hardware,” Technical Report, No. UUCS-03-005, University of Utah School of Computing, 2003.



A.E. Lefohn, J. Cates, R.T. Whitaker. “Interactive, GPU-Based Level Sets for 3D Segmentation,” In Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 564--572. 2003.



C.H. Leung, M. Berzins. “A Computational Model for Organism Growth based on Surface Mesh Generation,” In Journal of Computational Physics, Vol. 188, No. 1, pp. 75--99. 2003.



G. Li, U.D. Bordoloi, H. Shen. “Chameleon: An Interactive Texture-based Rendering Framework for Visualizing Three-dimensional Vector Fields,” In Proceedings of IEEE Visualization 2003, pp. 32. Oct, 2003.



Y. Livnat, C.D. Hansen. “Dynamic View Dependent Isosurface Extraction,” SCI Institute Technical Report, No. UUSCI-2003-004, University of Utah, 2003.



P. Lorenzen, S. Joshi. “High-Dimensional Multi-modal Image Registration,” In Proceedings of the Workshop on Biomedical Image Registration, pp. 234--243. 2003.



A. Lu, C.J. Morris, J. Taylor, D.S. Ebert, C.D. Hansen, P. Rheingans, M. Hartner. “Illustrative Interactive Stipple Rendering,” In IEEE Transactions on Visualization and Computer Graphics, Vol. 9, No. 2, pp. 127--138. April, 2003.



C. Lu, S. Pizer, S. Joshi. “A Markov Random Field Approach to Multi-scale Shape Analysis,” In Scale Space Methods in Computer Vision, Edited by LD Griffin and M Lillholm, pp. 416--431. 2003.



D. Lucor, D. Xiu, C.-H. Su, G.E. Karniadakis. “Predictability and Uncertainty in CFD,” In International Journal for Numerical Methods in Fluids, Vol. 43, No. 5, pp. 483--505. 2003.
DOI: 10.1002/fld.500

ABSTRACT

CFD has reached some degree of maturity today, but the new question is how to construct simulation error bars that reflect uncertainties of the physical problem, in addition to the usual numerical inaccuracies. We present a fast Polynomial Chaos algorithm to model the input uncertainty and its propagation in incompressible flow simulations. The stochastic input is represented spectrally by Wiener–Hermite functionals, and the governing equations are formulated by employing Galerkin projections. The resulted system is deterministic, and therefore existing solvers can be used in this new context of stochastic simulations. The algorithm is applied to a second-order oscillator and to a flow-structure interaction problems. Open issues and extensions to general random distributions are presented.

Keywords: computational fluid dynamics, polynomial chaos, Wiener–Hermite functionals, incompressible flows



N. Max, P. Williams, C.T. Silva, R. Cook. “Volume Rendering for Curvilinear and Unstructured Grids,” In Proceedings of Computer Graphics International, 2003, pp. 210--215. 2003.
ISBN: 0-7695-1946-6
ISSN: 1530-1052



C. Nuber, E.C. LaMar, V. Pascucci, B. Hamann, K.I. Joy. “Using Graphs for Fast Error Term Approximation of Time-varying Datasets,” In Proceedings of Eurographics VisSym'03 (Data Visualization 2003), Note: UCRL-JC-151965, Edited by Georges-Pierre Bonneau AND Stefanie Hahmann AND Charles D. Hansen, Association for Computing Machinery, New York, New York 2003.



A. Paoluzzi, V. Pascucci, M. Vicentino, C. Baldazzi, S. Protuesi. “Geometric Programming for Computer Aided Design,” John Wiley & Sons, June, 2003.



S.G. Parker. “C-SAFE Uses Linux HPCC in Fire Research,” In Syllabus, Technology for Higher Education, Vol. 16, No. 7, Feburary, 2003.



V. Pascucci, K. Cole-McLaughlin. “Parallel Computation of the Topology of Level Sets,” In Algorithmica, Vol. 38, No. 1, pp. 249--268. October, 2003.



V. Pascucci, D.E. Laney, R. Frank, G. Scorzelli, L. Linsen, B. Hamann, F. Gygi. “Real-Time Monitoring of Large Scientific Simulations,” In Proceedings of the 18-th annual ACM Symposium on Applied Computing, Melbourne, Florida, Note: UCRL-JC-151094, pp. 194--198. March, 2003.



V. Pascucci, R. J. Frank. “Hierarchical Indexing for Out-of-Core Access to Multi-Resolution Data,” In Mathematics and Visualization, Note: UCRL-JC-140581, Edited by G.Farin and B. Hamann and H. Hagen, Springer-Verlag, pp. 225--241. 2003.
DOI: 10.1007/978-3-642-55787-3_14



S.M. Pizer, G. Gerig, S. Joshi, S. Aylward. “Multiscale Medial Shape-Based Analysis of Image Objects,” In Proceedings of the IEEE, Vol. 91, No. 10, Edited by C. Roux and J.K. Udupa, IEEE, pp. 1670--1679. October, 2003.
DOI: 10.1109/jproc.2003.817876