SCI Publications

2007


H. Friedrich, I. Wald, P. Slusallek. “Interactive Iso-Surface Ray Tracing of Massive Volumetric Data Sets,” In Proceedings of the 2007 Eurographics Symposium on Parallel Graphics and Visualization, pp. 109--116. 2007.


C. Garth, G. Li, X. Tricoche, C.D. Hansen, H. Hagen. “Visualization of Coherent Structures in Transient 2D Flows,” In Proceedings of the 2007 Workshop on Topology-Based Method in Visualization (TopoInVis), Grimma, Germany, March, 2007.


C. Garth, F. Gerhardt, X. Tricoche, H. Hagen. “Efficient Computation and Visualization of Coherent Structures in Fluid Flow Applications,” In Proceeding of IEEE Visualization 2007, pp. 1464--1471. 2007.


C. Garth, B. Laramee, X. Tricoche, H. Hauser, J. Schneider. “Extraction and Visualization of Swirl and Tumble Motion from Engine Simulation Data,” In Topology-based Methods in Visualization, Mathematics and Visualization, Springer Berlin Heidelberg, pp. 121--135. 2007.
ISBN: 978-3-540-70822-3
DOI: 10.1007/978-3-540-70823-0_9

ABSTRACT

An optimal combustion process within an engine block is central to the performance of many motorized vehicles. Associated with this process are two important patterns of flow: swirl and tumble motion, which optimize the mixing of fluid within each of an engine's cylinders. The simulation data associated with in-cylinder tumble motion within a gas engine, given on an unstructured, timevarying and adaptive resolution CFD grid, demands robust visualization methods that apply to unsteady flow. Good visualizations are necessary to analyze the simulation data of these in-cylinder flows. We present a range of methods including integral, feature-based, and image-based schemes with the goal of extracting and visualizing these two important patterns of motion. We place a strong emphasis on automatic and semi-automatic methods, including topological analysis, that require little or no user input.We make effective use of animation to visualize the time-dependent simulation data. We also describe the challenges and implementation measures necessary in order to apply the presented methods to time-varying, volumetric grids.


S.E. Geneser, R.M. Kirby, D. Xiu, F.B. Sachse. “Stochastic Markovian Modeling of Electrophysiology of Ion Channels: Reconstruction of Standard Deviations in Macroscopic Currents,” In Journal of Theoretical Biology, Vol. 245, No. 4, pp. 627--637. 2007.
DOI: 10.1016/j.jtbi.2006.10.016

ABSTRACT

Markovian models of ion channels have proven useful in the reconstruction of experimental data and prediction of cellular electrophysiology. We present the stochastic Galerkin method as an alternative to Monte Carlo and other stochastic methods for assessing the impact of uncertain rate coefficients on the predictions of Markovian ion channel models. We extend and study two different ion channel models: a simple model with only a single open and a closed state and a detailed model of the cardiac rapidly activating delayed rectifier potassium current. We demonstrate the efficacy of stochastic Galerkin methods for computing solutions to systems with random model parameters. Our studies illustrate the characteristic changes in distributions of state transitions and electrical currents through ion channels due to random rate coefficients. Furthermore, the studies indicate the applicability of the stochastic Galerkin technique for uncertainty and sensitivity analysis of bio-mathematical models.

Keywords: Stochastic Galerkin, Polynomial chaos, Stochastic processes, Markov modeling, Ion channels


S. Gerber, T. Tasdizen, R.T. Whitaker. “Robust Non-linear Dimensionality Reduction using Successive 1-Dimensional Laplacian Eigenmaps,” In Proceedings of the 2007 International Conference on Machine Learning (ICML), pp. 281--288. 2007.


A. Ghodrati, D.H. Brooks, R.S. MacLeod. “Methods of Solving Reduced Lead Systems for Inverse Electrocardiography,” In IEEE Trans Biomed Eng, Vol. 54, No. 2, pp. 339--343. February, 2007.
PubMed ID: 17278592


J.H. Gilmore, W. Lin, I. Corouge, Y.S. Vetsa, J.K. Smith, C. Kang, H. Gu, R.M. Hamer, J.A. Lieberman, G. Gerig. “Early Postnatal Development of Corpus Callosum and Corticospinal White Matter Assessed with Quantitative Tractography,” In American Journal of Neuroradiology, Vol. 28, No. 9, pp. 1789--1795. October, 2007.


J.H. Gilmore, W. Lin, M.W. Prastawa, C.B. Looney, Y.S.K. Vetsa, R.C. Knickmeyer, D.D. Evans, J.K. Smith, R.M. Hamer, J.A. Lieberman, G. Gerig. “Regional Gray Matter Growth, Sexual Dimorphism, and Cerebral Asymmetry in the Neonatal Brain,” In Journal of Neuroscience, Vol. 27, No. 6, pp. 1255--1260. 2007.


J.H. Gilmore, L. Smith, C. Kang, R. Hamer, H. Wolfe, B. Hertzberg, J.K. Smith, N. Chescheir, W. Lin, G. Gerig. “Neonatal Brain Structure in Children with Prenatal Isolated Mild Ventriculomegaly,” In Proceedings American Conference of Neuropharmacology (ACNP) 2007, Boca Raton, FL, Note: abstract., 2007.


J.H. Gilmore, W. Lin, M.W. Prastawa, C.B. Looney, Y.S.K. Vetsa, R.C. Knickmeyer, D.D. Evans, J.K. Smith, R.M. Hamer, J.A. Lieberman, G. Gerig. “Regional Gray Matter Growth, Sexual Dimorphism, and Cerebral Asymmetry in the Neonatal Brain,” In Journal of Neuroscience, Vol. 27, No. 6, pp. 1255--1260. 2007.


C. Goodlett, P.T. Fletcher, W. Lin, G. Gerig. “Quantification of Measurement Error in DTI: Theoretical Predictions and Validation,” In Proceedings of The 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2007), Lecture Notes in Computer Science, Vol. 4792, pp. 10--17. November, 2007.
PubMed ID: 18051038


C.E. Goodyer, M. Berzins. “Parallelisation and Scalability Issues of a Multilevel EHL Solver,” In Concurrency and Computation: Practice and Experience, Vol. 19, No. 4, pp. 369--396. 2007.


C.B. Goodlett, P.T. Fletcher, W. Lin, G. Gerig. “Noise-Induced Bias in Low-Direction Diffusion Tensor MRI: Replication of Monte-Carlo Simulation with In-Vivo Scans,” In Proceedings of ISMRM 2007, 2007.


K. Gorczowski, M. Styner, J.Y. Jeong, J.S. Marron, J. Piven, H.C. Hazlett, S.M. Pizer, G. Gerig. “Statistical Shape Analysis of Multi-Object Complexes,” In Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1--8. 2007.


K. Gorczowski, M. Stynera, J.Y. Jeonga, J.S. Marron, J. Piven, H.C. Hazlett, S.M. Pizer, G. Gerig. “Discrimination Analysis using Multi-Object Statistics of Shape and Pose,” In Proceedings of the 2007 SPIE Conference, Vol. 6512, January, 2007.


S. Gouttard, M. Styner, S. Joshi, R.G. Smith, H.C. Hazlett, G. Gerig. “Subcortical Structure Segmentation Using Probabilistic Atlas Priors,” In Medical Imaging 2007: Image Processing, Vol. 6512, No. 65122J, Note: Presented at Worshop - 3D Segmentation in the Clinic: a Grand Challenge, Edited by J.P. W. Pluim and J.M. Reinhardt, SPIE Intl Soc Optical Eng, March, 2007.


C.P. Gribble, S.G. Parker. “Interactive Visualization with Advanced Shading Models using Lazy Evaluation,” In Proceedings of the 2007 Eurographics Symposium on Parallel Graphics and Visualization, pp. 37--44. 2007.


C.P. Gribble, C. Brownlee, S.G. Parker. “Practical Global Illumination for Interactive Particle Visualization,” In Computers and Graphics, Vol. 32, No. 1, pp. 14--24. February, 2007.


A. Gyulassy, V. Natarajan, B. Hamann, V. Pascucci. “Efficient Computation of Morse-Smale Complexes for Three-dimensional Scalar Functions,” In IEEE Transactions on Visualization and Computer Graphics, Note: (presented at IEEE VIS 2007), 2007.