Independent Component Analysis for EEG Source Localization in Realistic Head Models|
L. Zhukov, D. Weinstein, C.R. Johnson. In IEEE Engineering in Medicine and Biology, Vol. 19, No. 3, pp. 87--96. 2000.
The BioPSE Inverse EEG Modeling Pipeline|
D.M. Weinstein, P. Krysl, C.R. Johnson. In ISGG 7th International Conference on Numerical Grid Generation in Computation Field Simulations, The International Society of Grid Generation, Mississippi State University pp. 1091--1100. 2000.
Reciprocity Basis for EEG Source Imaging|
L. Zhukov, D.M. Weinstein, C.R. Johnson. In NeuroImage (suppl.), pp. 598. 2000.
Algebraic curves that work better|
T. Tasdizen, J.-P. Tarel, D. B. Cooper. In Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 1999.
Color Quantization with Genetic Algorithms|
T. Tasdizen, L. Akarun, C. Ersoy. In Signal Processing: Image Communication, Vol. 12, pp. 49--57. 1998.
PIMS and Invariant Parts for Shape Recognition|
Z. Lei, T. Tasdizen, D.B. Cooper. In Sixth International Conference on Computer Vision, Narosa Publishing House, 1997.
Computational and Numerical Methods for Bioelectric Field Problems|
C.R. Johnson. In Critical Reviews in BioMedical Engineering, Vol. 25, No. 1, pp. 1--81. 1997.
Software Tools for Modeling, Computation, and Visualization in Medicine|
C.R. Johnson, R.S. MacLeod, J.A. Schmidt. In CompMed 94 Proceedings, World Scientific, 1995.
Numerical Methods for Bioelectric Field Problems|
C.R. Johnson. In The Biomedical Engineering Handbook, Edited by J.D. Bronzino, CRC Press, Boca Ratan pp. 161--188. 1995.
Construction of a Human Torso Model from Magnetic Resonance Images for Problems in Computational Electrocardiography|
School of Computing Technical Report, R.S. MacLeod, C.R. Johnson, P.R. Ershler. No. UUCS-94-017, University of Utah, 1994.
Interactive Manipulation of Contour Data Using the Layers Program - User Guide|
School of Computing Technical Report, S.G. Parker, C.R. Johnson. No. UUCS-94-014, University of Utah, 1994.
Computer Simulations Reveal Complexity of Electrical Activity in the Human Thorax|
C.R. Johnson, R.S. MacLeod, M.A. Matheson. In Computers in Physics, Vol. 6, pp. 230--237. May/June, 1992.
A Computer Model for the Study of Electrical Current Flow in the Human Thorax|
C.R. Johnson, R.S. MacLeod, P.R. Ershler. In Computers in Biology and Medicine, Vol. 22, No. 5, Elsevier BV, pp. 305--323. 1992.
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
Construction of an Inhomogeneous Model of the Human Torso for Use in Computational Electrocardiography|
R.S. MacLeod, C.R. Johnson, P.R. Ershler. In IEEE Engineering in Medicine and Biology Society 13th Annual International Conference, IEEE Press, pp. 688--689. 1991.