Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Biomedical Computing

Biomedical computing combines the diagnostic and investigative aspects of biology and medical science with the power and problem-solving capabilities of modern computing. Computers are used to accelerate research learning, simulate patient behavior and visualize complex biological models.


Chris Johnson

Inverse Problems
Computational Electrophysiology

Rob MacLeod

ECG Imaging
Cardiac Disease
Computational Electrophysiology

Jeff Weiss

Computational Biomechanics

Orly Alter

Computational Biology

Chris Butson

Deep Brain Simulation
Transcranial Magnetic
Stimulation (TMS)


Tamara Bidone

Computational Models
Simulations of Biological Systems
Multi-Physics Models of Cancer Cells

Associated Centers:

Publications in Biomedical Computing:

Independent Component Analysis For EEG Source Localization In Realistic Head Models
L. Zhukov, D.M. Weinstein, C.R. Johnson. In Third International Conference on Inverse Problems in Engineering, 1999.

Lead Field Basis for FEM Source Localization
School of Computing Technical Report, D.M. Weinstein, L. Zhukov, C.R. Johnson. No. UUCS-99-014, University of Utah, Salt Lake City, UT October, 1999.

Impossibility of Determining the Unknown Wavefunction of a Single Quantum System: Quantum Non-Demolition Measurements, Measurements without Entanglement and Adiabatic Measurements
O. Alter, Y. Yamamoto. In Fortschritte der Physik, Vol. 46, No. 6-8, pp. 817--827. November, 1998.

Bioelectric Modeling of the P300 in Schizophrenia
G.F. Potts, D.M. Weinstein, B.F. O'Donnell M.E., C.R. Johnson, R.W. McCarley. In Biological Psychiatry (suppl.), pp. 396. 1998.

Computer Visualization in Medicine
C.R. Johnson. In National Forum, Vol. Fall, pp. 17--21. 1998.

Adaptive local regularization methods for the inverse ECG problem
C.R. Johnson, R.S. MacLeod. In Progress in Biophysics and Biochemistry, Vol. 69, No. 2/3, pp. 405. Dec, 1998.

Reply to the Comment on 'Protective Measurement of the Wave Function of a Single Squeezed Harmonic Oscillator State'
O. Alter, Y. Yamamoto. In Physical Review A, Vol. 56, No. 1, pp. 1057--1059. July, 1997.
DOI: 10.1103/PhysRevA.56.1057

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.

Applications of Large-Scale Computing and Scientific Visualization in Medicine
SCI Institute Technical Report, C.R. Johnson, D.M. Beazley, Y. Livnat, S.G. Parker, J.A. Schmidt, H.W. Shen, D.M. Weinstein. No. UUSCI-1997-001, University of Utah, 1997.

The Effects of Inhomogeneities and Anisotropies on Electrocardiographic Fields: A Three-Dimensional Finite Element Study
R.N. Klepfer, C.R. Johnson, R.S. MacLeod. In IEEE Transactions on Biomedical Engineering, Vol. 44, No. 8, pp. 706--719. August, 1997.

Effects of Geometric Uncertainty on the Inverse EEG Problem
D.M. Weinstein, C.R. Johnson. In Computational, Experimental, and Numerical Methods for Solving Ill-Posed Inverse Imaging Problems:Medical and Nonmedical Applications, SPIE '97, Vol. 3171, Edited by R.L. Barbour and M.J. Carvlin and M.A. Fiddy, SPIE, pp. 138--145. 1997.

Applications of Large-Scale Computing and Scientific Visualization in Medicine
C.R. Johnson, D.M. Beazley, Y. Livnat, S.G. Parker, J.A. Schmidt, H.W. Shen, D.M. Weinstein. In International Journal on Supercomputer Applications and High Performance Computing, 1996.

The effects of inhomogeneities and anisotropies on electrocardiographic fields: A three-dimensional finite element study
R.N. Klepfer, C.R. Johnson, R.S. MacLeod. In IEEE Trans. on Biomedical Engineering, 1996.

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

Large Scale Biomedical Modeling and Simulation: From Concepts to Results
SCI Institute Technical Report, C.S. Henriquez, C.R. Johnson, K.A. Henneberg L.J., A.E. Pollard. No. UUSCI-1995-001, University of Utah, 1995.

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.

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

Applications in Computational Medicine using SCIRun: A Computational Steering Programming Environment
C.R. Johnson, S.G. Parker. In Supercomputer `95, Edited by H.W. Meuer, Springer-Verlag, pp. 2--19. 1995.

Applications of Automatic Mesh Generation and Adaptive Methods in Computational Medicine
J.A. Schmidt, C.R. Johnson, J.C. Eason, R.S. MacLeod. 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.

Direct and Inverse Bioelectric Field Problems
C.R. Johnson. In Computational Science Education Project, Edited by E. Oliver and M. Strayer and V. Meiser and D. Zachmann and R. Giles, DOE, Washington, D.C. 1995.