SCI Publications
2006
P.T. Fletcher, R.T. Whitaker.
“Riemannian Metrics on the Space of Solid Shapes,” In MICCAI Workshop on Mathematical Foundations of Computational Anatomy, October, 2006.
J. Freire, C.T. Silva, S.P. Callahan, E. Santos, C.E. Scheidegger, H.T. Vo.
“Managing Rapidly-Evolving Scientific Workflows,” In Provenance and Annotation of Data, In Proceedings of The 2006 International Provenance and Annotation Workshop, Lecture Notes in Computer Science (LNCS), pp. 10--18. 2006.
G. Gerig, B. Davis, P. Lorenzen, S. Xu, M. Jomier, J. Piven, S. Joshi.
“Computational Anatomy to Assess Longitudinal Trajectory of Brain Growth,” In Proceedings of The Third International Symposium on 3D Data Processing, Visualization, and Transmission, pp. 1041--1047. June, 2006.
G. Gerig, S. Joshi, P.T. Fletcher, K. Gorczowski, S. Xu, S.M. Pizer, M. Styner.
“Statistics of Populations of Images and its Embedded Objects: Driving Applications in Neuroimaging,” In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1120--1123. April, 2006.
A. Ghodrati, D.H. Brooks, G. Tadmor, R.S. MacLeod.
“Wavefront-based Models for Inverse Electrocardiography,” In IEEE Trans Biomed. Eng., Vol. 53, No. 9, pp. 1821--1831. 2006.
DOI: 10.1109/TBME.2006.878117
A. Ghodrati, D.H. Brooks, G. Tadmor, R.S. MacLeod.
“Lead Selection for Inverse Electrocardiography,” In IEEE Trans Biomed. Eng., pp. in press. 2006.
A. Ghodrati, A. Keely, G. Tadmor, R.S. MacLeod, D.H. Brooks.
“A Wavefront-Based Constraint for Potential Surface Solutions in Inverse Electrocardiography,” In 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, New York, NY, USA August, 2006.
DOI: 10.1109/IEMBS.2006.260373
A. Ghodrati, D.H Brooks, G. Tadmor, R.S. MacLeod.
“A Threshold-Based Method for Inverse Solutions to Reconstruct Complex Obstacles, with Application to the Inverse Problem of Electrocardiography,” In SIAM Conference on Imaging Science, Minneapolis, MN, USA May, 2006.
J.H. Gilmore, W. Lin, G. Gerig.
“IMAGES IN NEUROSCIENCE: Fetal and Neonatal Brain Development,” In Am J Psychiatry, Vol. 163, pp. 2046. December, 2006.
C.E. Goodyer, M. Berzins, P.K. Jimack, L.E. Scales.
“A Grid-enabled Problem Solving Environment for Parallel Computational Engineering Design,” In Advances in Engineering Software, Vol. 37, No. 7, pp. 439--449. 2006.
C.E. Goodyer, M. Berzins.
“Solving Computationally Intensive Engineering Problems on the Grid using Problem Solving Environments,” In Grid Computing: Software Environments and Tools, Edited by J.C. Cunha and O.F. Rana, Springer Verlag, pp. 284--301. 2006.
C.E. Goodyer, M. Berzins.
“Adaptive Timestepping for Elastohydrodynamic Lubrication Solvers,” In SIAM Journal on Scientific Computing, Vol. 28, No. 2, SIAM, pp. 626-650. 2006.
DOI: 10.1137/050622092
C. Gribble, T. Ize, A. Kensler, I. Wald, S.G. Parker.
“A Coherent Grid Traversal Approach to Visualizing Particle-based Simulation Data,” SCI Institute Technical Report, No. UUSCI-2006-024, University of Utah, 2006.
C.P. Gribble, A.J. Stephens, J.E. Guilkey, S.G. Parker.
“Visualizing Particle-Based Simulation Datasets on the Desktop,” In Proceedings of the British HCI 2006 Workshop on Combining Visualization and Interaction to Facilitate Scientific Exploration and Discovery, 2006.
C.P. Gribble, S.G. Parker.
“Enhancing Interactive Particle Visualization with Advanced Shading Models,” In Proceedings of the ACM Siggraph Third Symposium on Applied Perception in Graphics and Visualization, pp. 111--118. 2006.
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualization of the resulting state should communicate subtle changes in the three-dimensional structure, spatial organization, and qualitative trends within a simulation as it evolves. We take steps toward understanding and using advanced shading models in the context of interactive particle visualization. Specifically, the impact of ambient occlusion and physically based diffuse interreflection is investigated using a formal user study. We find that these shading models provide additional visual cues that enable viewers to better understand subtle features within particle datasets. We also describe a visualization process that enables interactive navigation and exploration of large particle datasets, rendered with illumination effects from advanced shading models. Informal feedback from application scientists indicates that the results of this process enhance the data analysis tasks necessary for understanding complex particle datasets.
Keywords: mpm material point method, rtrt real-time ray tracing, csafe c-safe, rtcenter
J.E. Guilkey, J.B. Hoying, J.A. Weiss.
“Computational Modeling of Multicellular Constructs with the Material Point Method,” In Journal of Biomechanics, Vol. 39, No. 11, pp. 2074--2086. 2006.
A. Gyulassy, V. Natarajan, V. Pascucci, P.-T. Bremer, B. Hamann.
“A Topological Approach to Simplification of Three-Dimensional Scalar Functions,” In IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 4, pp. 474--484. August, 2006.
C.W. Hamman, R.M. Kirby, J.C. Klewicki.
“On the Lamb Vector Divergence as a Momentum Field Diagnostic Employed in Turbulent Channel Flow,” In Proceedings of the 59th Annual Meeting of the American Physical Society, Division of Fluid Dynamics, Tampa Bay, Fl, November, 2006.
D. Hart, C.E. Goodyer, M. Berzins, P.K. Jimack, L. Scales.
“Adjoint Error Estimation and Spatial Adaptivity for EHL-Like Models,” In IUTAM Symposium on Elastohydrodynamics and Micro-elastohydrodynamics, Springer, pp. 47--58. 2006.
DOI: 10.1007/1-4020-4533-6_3
H.C. Hazlett, M.D. Poe, G. Gerig, R.G. Smith, J. Piven.
“Cortical Gray and White Brain Tissue Volume in Adolescents and Adults with Autism,” In Biological Psychiatry, Vol. 59, No. 1, pp. 1--96. January, 2006.