SCIENTIFIC COMPUTING AND IMAGING INSTITUTE
at the University of Utah

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

SCI Publications

1999


D.H. Brooks, G.F. Ahmad, R.S. MacLeod, G.M. Maratos. “Inverse Electrocardiography by Simultaneous Imposition of Multiple Constraints,” In IEEE Trans Biomed. Eng., Vol. 46, No. 1, pp. 3--18. 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.

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.

1996


C.R. Johnson, R.S. MacLeod. “Local regularization and adaptive methods for the inverse Laplace problem,” In Biomedical and Life Physics, Edited by D.N. Ghista, Vieweg-Verlag, Braunschweig pp. 224--234. 1996.


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 Trans. on Biomedical Engineering, 1996.

1995


C.R. Johnson, R.S. MacLeod, J.A. Schmidt. “Software Tools for Modeling, Computation, and Visualization in Medicine,” In CompMed 94 Proceedings, World Scientific, 1995.


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 Engineering in Medicine and Biology Society 17th Annual International Conference, IEEE Press, pp. 233--234. 1995.


J.A. Schmidt, C.R. Johnson, J.C. Eason, R.S. MacLeod. “Applications of Automatic Mesh Generation and Adaptive Methods in Computational Medicine,” In Modeling, Mesh Generation, and AdaptiveMethodsforPartial Differential Equations, Edited by I. Babuska and J.E. Flaherty and W.D. Henshaw and J.E. Hopcroft and J.E. Oliger and T. Tezduyar, Springer-Verlag, pp. 367--390. 1995.


J.A. Schmidt, C.R. Johnson, R.S. MacLeod. “An Interactive Computer Model for Defibrillation Device Design,” In International Congress on Electrocardiology, ICE, pp. 160--161. 1995.

1994


R.S. MacLeod, P.R. Ershler, C.R. Johnson M.A.. “Map3d: Scientific Visualization Program for Multichannel Time Series Data on Unstructured, Three-Dimensional Meshes. Program User's Guide,” School of Computing Technical Report, No. UUCS-94-016, University of Utah, 1994.


R.S. MacLeod, C.R. Johnson, P.R. Ershler. “Construction of a Human Torso Model from Magnetic Resonance Images for Problems in Computational Electrocardiography,” School of Computing Technical Report, No. UUCS-94-017, University of Utah, 1994.

1993


C.R. Johnson, R.S. MacLeod. “Inverse Solutions for Electric and Potential Field Imaging,” In Physiological Imaging, Spectroscopy, andEarlyDetection Diagnostic Methods, Vol. 1887, Edited by R.L. Barbour and M.J. Carvlin, SPIE, pp. 130--139. 1993.


C.R. Johnson, R.S. MacLeod, M.A. Matheson. “Computational Medicine: Bioelectric Field Problems,” In IEEE Computer, Vol. 26, No. 26, pp. 59--67. Oct, 1993.


C.R. Johnson, R.S. MacLeod. “High Performance Computing in Medicine: Direct and Inverse Problems in Cardiology,” In IEEE Engineering in Medicine and Biology Society 15th Annual International Conference, pp. 582--583. 1993.


C.R. Johnson, R.S. MacLeod, M.A. Matheson, C. Zimmerman. “The Body Electric,” In Discover Magazine, pp. 72--77. February, 1993.


R.S. MacLeod, C.R. Johnson, M.A. Matheson. “Visualization of Bioelectric Fields,” In IEEE Computer Graphics and Applications, Vol. 14, pp. 10--12. Jul, 1993.


R.S. MacLeod, C.R. Johnson. “Map3d: Interactive Scientific Visualization for Bioengineering Data,” In Proceedings of the IEEE Engineering in Medicine and Biology Society 15th Annual International Conference, IEEE Press, pp. 30--31. 1993.

1992


C.R. Johnson, R.S. MacLeod, P.R. Ershler. “A Computer Model for the Study of Electrical Current Flow in the Human Thorax,” In Computers in Biology and Medicine, Vol. 22, No. 5, Elsevier BV, pp. 305--323. 1992.

ABSTRACT

Electrocardiography has played an important role in the detection and characterization of heart function, both in normal and abnormal states. In this paper we present an inhomogeneous, anisotropic computer model of the human thorax for use in electrocardiography with emphasis on the calculation of transthoracic potential and current distributions. Knowledge of the current pathways in the thorax has many applications in electrocardiography and has direct utility in studies pertaining to cardiac defibrillation, forward and inverse problems, impedance tomography, and electrode placement in electrocardiography.

Keywords: scalar field methods, vector field methods, tensor field methods, cardiac heart, scientific visualization


C.R. Johnson, R.S. MacLeod, M.A. Matheson. “Computer Simulations Reveal Complexity of Electrical Activity in the Human Thorax,” In Computers in Physics, Vol. 6, pp. 230--237. May/June, 1992.


C.R. Johnson, R.S. MacLeod, A. Dutson. “Effects of Anistropy and Inhomogeneity on Electrocardiographic Fields: A Finite Element Study,” In Engineering in Medicine and Biology Society 14th Annual International Conference, IEEE Press, pp. 2009--2010. 1992.