SCI Publications
2009
A.R.C. Paiva, I. Park, J.C. Principe.
“A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing,” In Neural Computation, Vol. 21, No. 2, pp. 424--449. 2009.
Y. Pan, R.T. Whitaker, A. Cheryauka, D. Ferguson.
“Feasibility of GPU-Assisted Iterative Image Reconstruction for Mobile C-ARM CT,” In Progress in biomedical optics and imaging, In Proceedings of SPIE Medical Imaging 2009, Vol. 10, No. 3, 2009.
ISSN: 1605-7422
Computed tomography (CT) has been extensively studied and widely used for a variety of medical applications. The reconstruction of 3D images from a projection series is an important aspect of the modality. Reconstruction by filtered backprojection (FBP) is used by most manufacturers because of speed, ease of implementation, and relatively few parameters. Iterative reconstruction methods have a significant potential to provide superior performance with incomplete or noisy data, or with less than ideal geometries, such as cone-beam systems. However, iterative methods have a high computational cost, and regularization is usually required to reduce the effects of noise. The simultaneous algebraic reconstruction technique (SART) is studied in this paper, where the Feldkamp method (FDK) for filtered back projection is used as an initialization for iterative SART. Additionally, graphics hardware is utilized to increase the speed of SART implementation. Nvidia processors and compute unified device architecture (CUDA) form the platform for GPU computation. Total variation (TV) minimization is applied for the regularization of SART results. Preliminary results of SART on 3-D Shepp-Logan phantom using using TV regularization and GPU computation are presented in this paper. Potential improvements of the proposed framework are also discussed.
Y. Pan, W.-K. Jeong, R.T. Whitaker.
“Markov Surfaces: A Probabilistic Framework for User-Assisted Three Dimensional Image Segmentation,” In Proceedings of MICCAI 2009 workshop on Probabilistic Models for Medical Image Analysis, London, UK, 2009.
S.G. Parker, K. Damevski, A. Khan, A. Swaminathan, C.R. Johnson.
“The SCIJump Framework for Parallel and Distributed Scientific Computing,” In Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications, Edited by Manish Parashar and Xiaolin Li and Sumir Chandra, Wiley-Blackwell, pp. 149--170. 2009.
DOI: 10.1002/9780470558027.ch9
V. Pegoraro, S.G. Parker.
“An Analytical Solution to Single Scattering in Homogeneous Participating Media,” In Computer Graphics Forum (Proceedings of the 30th Eurographics Conference), Vol. 28, No. 2, pp. 329--335. 2009.
V. Pegoraro, M. Schott, S.G. Parker.
“An Analytical Approach to Single Scattering for Anisotropic Media and Light Distributions,” In Proceedings of the 35th Graphics Interface Conference, pp. 71--77. 2009.
N.S. Phatak, S.A. Maas, A.I. Veress, N.A. Pack, E.V. DiBella, J.A. Weiss.
“Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration,” In Medical Image Analysi, Vol. 13, No. 2, pp. 354--361. 2009.
K. Potter, A. Wilson, P.-T. Bremer, D. Williams, C. Doutriaux, V. Pascucci, C.R. Johhson.
“Visualization of Uncertainty and Ensemble Data: Exploration of Climate Modeling and Weather Forecast Data with Integrated ViSUS-CDAT Systems,” In J. Phys.: Conf. Ser., Vol. 180, No. 012089, IOP Publishing, pp. 012089. July, 2009.
DOI: 10.1088/1742-6596/180/1/012089
K. Potter, A. Wilson, P.-T. Bremer, D. Williams, C. Doutriaux, V. Pascucci, C.R. Johnson.
“Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data,” In Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, pp. 233--240. 2009.
M.W. Prastawa, E. Bullitt, G. Gerig.
“Simulation of brain tumors in MR images for evaluation of segmentation efficacy,” In Med Image Anal, Vol. 13, No. 2, pp. 297--311. 2009.
PubMed ID: 19119055
J.S. Preston, T. Tasdizen, C.M. Terry, A.K. Cheung, R.M. Kirby.
“Using the stochastic collocation method for the uncertainty quantification of drug concentration due to depot shape variability,” In IEEE Transactions on Biomedical Engineering, Vol. 56, No. 3, Note: Epub 2008 Dec 2, pp. 609--620. 2009.
PubMed ID: 19272865
E.J. Rainis, S.A. Maas, H.B. Henninger, P.J. McMahon, J.A. Weiss, R.E. Debski.
“Material properties of the axillary pouch of the glenohumeral capsule: Is isotropic material symmetry appropriate?,” In Journal of Biomechanical Engineering, Vol. 131, No. 13, pp. (7 pages). 2009.
J. Van Rij, T. Ameel, T. Harman.
“An evaluation of secondary effects on microchannel frictional and convective heat transfer characteristics,” In International Journal of Heat and Mass Transfer, Vol. 52, No. 11-12, pp. 2792--2801. 2009.
DOI: 10.1016/j.ijheatmasstransfer.2009.01.001
The frictional and convective heat transfer characteristics of rarified flows in rectangular microchannels, with either isoflux or isothermal boundary conditions, are evaluated subject to second-order slip boundary conditions, creep flow, viscous dissipation, and axial conduction effects. Numerical results are obtained using a continuum based, three-dimensional, compressible, unsteady computational fluid dynamics algorithm with first- and second-order slip velocity and temperature jump boundary conditions applied to the momentum and energy equations, respectively. The results, reported in the form of Poiseuille and Nusselt numbers, are found to be significant functions of aspect ratio, Knudsen number, slip model parameters, Brinkman number, and Peclet number.
Keywords: Rarified flow, Viscous dissipation, Axial conduction
J. Van Rij, T. Ameel, T. Harman.
“The Effect of Viscous Dissipation and Rarefaction on Rectangular Microchannel Convective Heat Transfer,” In International Journal of Thermal Sciences, Vol. 48, No. 2, pp. 271--281. February, 2009.
DOI: 10.1016/j.ijthermalsci.2008.07.010
The effect of viscous dissipation and rarefaction on rectangular microchannel convective heat transfer rates, as given by the Nusselt number, is numerically evaluated subject to constant wall heat flux (H2) and constant wall temperature (T) thermal boundary conditions. Numerical results are obtained using a continuum based, three-dimensional, compressible, unsteady computational fluid dynamics algorithm with slip velocity and temperature jump boundary conditions applied to the momentum and energy equations, respectively. For the limiting case of parallel plate channels, analytic solutions for the thermally and hydrodynamically fully developed momentum and energy equations are derived, subject to both first- and second-order slip velocity and temperature jump boundary conditions, from which analytic Nusselt number solutions are then obtained. Excellent agreement between the analytical and numerical results verifies the accuracy of the numerical algorithm, which is then employed to obtain three-dimensional rectangular channel and thermally/hydrodynamically developing Nusselt numbers. Nusselt number data are presented as functions of Knudsen number, Brinkman number, Peclet number, momentum and thermal accommodation coefficients, and aspect ratio. Rarefaction and viscous dissipation effects are shown to significantly affect the convective heat transfer rate in the slip flow regime.
Keywords: Microchannel, Nusselt number, Slip flow, Brinkman number, Viscous dissipation
E. Santos, D. Koop, H.T. Vo, E. Anderson, J. Freire, C.T. Silva.
“Using Workflow Medleys to Streamline Exploratory Tasks,” In 21st International Conference on Scientific and Statistical Database Management (SSDBM), pp. 292--301. 2009.
E. Santos, L. Lins, J.P. Ahrens, J. Freire, C.T. Silva.
“VisMashup: Streamlining the Creation of Custom Visualization Applications,” In IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 2009 IEEE Visualization Conference, Vol. 15, No. 6, pp. 1539--1546. Sept/Oct, 2009.
DOI: 10.1109/TVCG.2009.195
A.R. Sanderson, M.D. Meyer, R.M. Kirby, C.R. Johnson.
“A Framework for Exploring Numerical Solutions of Advection Reaction Diffusion Equations using a GPU Based Approach,” In Journal of Computing and Visualization in Science, Vol. 12, pp. 155--170. 2009.
DOI: 10.1007/s00791-008-0086-0
D. Sato, Y. Xie, J.N. Weiss, Z. Qu, A. Garfinkel, A.R. Sanderson.
“Acceleration of Cardiac Tissue Simulation with Graphic Processing Units,” In Medical and Biological Engineering and Computing, Note: Published online Aug 5, 2009, 2009.
DOI: 10.1007/s11517-0
M. Schott, V. Pegoraro, C.D. Hansen, K. Boulanger, K. Bouatouch.
“A Directional Occlusion Shading Model for Interactive Direct Volume Rendering,” In Computer Graphics Forum, Vol. 28, No. 3, Wiley-Blackwell, pp. 855--862. jun, 2009.
DOI: 10.1111/j.1467-8659.2009.01464.x
J.M. Schreiner.
“Uniform and Adaptive (Re)meshing of Surfaces,” Note: Ph.D. Thesis, School of Computing, University of Utah, June, 2009.