Primary Research Area:

Biomedical Engineering including Biofluids Modeling, Fluid Dynamics, Image Processing and Analysis, Mathematical Modeling, Simulation Based Medical Planning, Vascular Hemodynamics

Computer Architecture and Systems including Computer Applications / Software Engineering / Large Programs

Research Interests:

Homepage: The Biomodeling Group

Simulation-Based Surgical Planning
Simulation-based medical planning in the treatment of vascular disease and defects can be used to predict outcomes that are useful in the clinical decision making process. Software systems used in simulation-based medical planning must be efficient, accurate, and clinically accessible. The goal of this group is to create such a system for clinical use.

Mathematical Modeling
We use mathematics to simulate physiologic behavior. As we learn more about these behaviors, we refine our models to provide desired levels of detail and accuracy. Research topics include:
* Minor Loss coefficients based on physiologic parameters,
* Organ specific Boundary Conditions,
* Site and disease specific constitutive models for vessels, and
* Patient specific parameters for boundary conditions and constitutive models

Medical Imaging
All imaging modalities can be used in the simulation-based planning process. We are interested in investigating how data extracted from existing and emerging imaging technologies can be used in our research.

BioMechanics, Systems Physiology, and Clinical Collaboration
In addition to our in silico endeavors, we also perform in vitro and in vivo experiments. An experimental component is needed to collect data for development and validation of our work.

Biofluids Modeling in Tissue Engineering
In addition to modeling blood flow, we also examine flow induced forces in the development of skeletal tissues. This work is in collaboration with the Cell Mechanics Laboratory at NCSU

Education:

BS in Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA
MS in Mechanical Engineering, Stanford University, Stanford, CA
PhD in Mechanical Engineering, Stanford University, Stanford, Ca

Recent Publications:

1. RB Clipp and BN Steele, Impedance Boundary Conditions for the Pulmonary Vasculature Including the effects of Geometry, Compliance, and Respiration, IEEE Transactions in Biomedical Engineering, Vol. 56, No. 3, pp.862-870 2009. [ Related link ]
2. B Steele, Using One-Dimensional Finite Element Analysis to Estimate Differential Pressure of Renal Artery Stenoses, Proceedings of Computers in Cardiology, 2007. [ Related link ]
3. B. N. Steele, M. S. Olufsen, and C. A. Taylor, Fractal network model for simulating abdominal and lower extremity blood flow during resting and exercise conditions, Computer Methods in Biomechanics and Biomedical Engineering, Vol 10, pp.39-51, 2007
4. B. N. Steele, J. Wan, J. P. Ku, T. J. R. Hughes, and C. A. Taylor, In vivo Validation of a One-Dimensional Finite Element Method for Predicting Blood Flow in Cardiovascular Bypass Grafts, IEEE Transactions in Biomedical Engineering, Vol. 50, No. 6, pp. 649-656, 2003 [pdf] [ Related link ]
5. B. N. Steele, M. T. Draney, J. P. Ku, and C. A. Taylor, Internet-Based System for Simulation-Based Medical Planning for Cardiovascular Disease, IEEE Transactions on Information Technology in Biomedicine, Vol. 7, No. 2, pp. 123-129, 2003. [pdf] [ Related link ]
6. J. Wan, B. N. Steele, S. A. Spicer, S. Strohband, G. R. Feijoo, T. J. Hughes, and C. A. Taylor, A One-Dimensional Finite Element Method for Simulation-Based Medical Planning for Cardiovascular Disease, Computer Methods in Biomechanics and Biomedical Engineering, vol. 5, pp. 195-206, 2002. [pdf]
7. C. A. Taylor, M. T. Draney, J. P. Ku, D. Parker, B. N. Steele, K. Wang, and C. K. Zarins, Predictive Medicine: Computational Techniques in Therapeutic Decision-Making, Computer Aided Surgery, vol. 4, pp. 231-247, 1999. [pdf] [ Related link ]

Date of Last Modification: 11/5/2009

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