Semahat S. Demir
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG Directorate for Engineering
Start Date:
October 1, 2005
Expires:
September 30, 2009 (Estimated)
Awarded Amount to Date:
$857930
Investigator(s):
J. Tinsley Oden oden@ices.utexas.edu (Principal Investigator)
Kenneth Diller (Co-Principal Investigator) Chandrajit Bajaj (Co-Principal Investigator)
Sponsor:
University of Texas at Austin
P.O Box 7726
Austin, TX 78713 512/471-6424
NSF Program(s):
DYNAMIC DATA DRIVEN APPL SYSTS, COMPUTER SYSTEMS, BIOMEDICAL ENGINEERING, MANFG ENTERPRISE SYSTEMS, MECHANICS OF MATERIALS
Field Application(s):
0000912 Computer Science
Program Reference Code(s):
HPCC, 9251, 9218, 7481, 2884, 1630
Program Element Code(s):
7481, 7354, 5345, 1786, 1630
ABSTRACT
The goal of this project is to develop a dynamic data-driven planning and control
system for laser treatment of cancer. The proposed research includes (1) development of a general mathematical framework and a family of mathematical and computational models of bio-heat transfer, tissue damage, and tumor viability, (2) dynamic calibration, verification and validation processes based on laboratory and clinical data and simulated response, and (3) design of effective thermo-therapeutic protocols using model predictions. At the core of the proposed systems is the adaptive-feedback control of mathematical and computational models based on a posteriori estimates of errors in key quantities of interest, and modern Magnetic Resonance Temperature Imaging (MRTI) and diode laser devices to monitor treatment of tumors in laboratory animals. This approach enables an automated systematic model selection process based on acceptance criteria determined a priori and is valid for models of events occurring at multiple spatial and temporal scales. The proposed project should be of interest to both NIH/NLM and NSF. The methodologies to be implemented involve uncertainty quantification methods designed to provide an innovative, data-driven, patient-specific approach to effective cancer treatment. The general mathematical framework resulting from this research will be applicable to any thermo-therapeutic cancer treatment, but our treatment protocols will be established based on tumors seeded in prostates of canines. The primary objective of the proposed research is to develop treatment strategies by selecting optimal parameter sets (such as laser power, wave length, and fluence rate) based on high fidelity model predictions and data from cellular and in vivo biological measurement, and MRTI thermal distributions.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Feng, Y., Fuentes, D., Hawkins, A., Bass, J., and Rylander, M. N.. ""Model-based optimization and real-time control for laser treatment of heterogeneous soft tissues"," Comp. Meth. Appl. Mech. Eng., v.198(21-, 2009, p. 1742.
Feng, Y., Fuentes, D., Hawkins, A., Bass, J., Rylander, M. N., Elliott, A., Shetty, A., Stafford, R. J., and Oden, J. T.. ""Nanoshell-mediated laser surgery simulation for prostate cancer treatment"," Engineering with Computers, v.25(1), 2009, p. 3.
Feng, Y., Oden, J. T., and Rylander, M. N.. ""A statistical thermodynamics based cell damage models and its validation in vitro"," J. Biomech. Eng., v.130(041, 2008, p. 1.
Fuentes, D., Oden, J. T., Diller, K. R., Hazle, J., Elliott, A., Shetty, A., and Stafford, R. J.. ""Computational modeling and real-time control of patient-specific laser treatment cancer"," Ann. BME., v.37(4), 2009, p. 763.
J. T. Oden, K. R. Diller, C. Bajaj, J. C. Browne, J. Hazle, I. Babuska, J. Bass, L. Demkowicz, Y. Feng, D. Fuentes, S. Prudhomme, N. Rylander, R. J. Stafford, and Y. Zhang. "Development of a Computational Paradigm for Laser Treatment of Cancer," V.N. Alexandrov et al (Eds.), v.3993, 2006, p. 530.
M. N. Rylander, Y. Feng, J. Zhang, J. Bass, R. J. Stafford, J. Hazle and K. R. Diller. "Optimizing HSP Expression in Prostate Cancer Laser Therapy Through Predictive
Computational Models," Journal of Biomedical Optics, v.11(4), 2006, p. 041113-1.
Oden, J. T., Diller, K. R., Bajaj, C., Browne, J. C., Hazle, J., Babuška, I., Bass, J., Demkowicz, L., Feng, Y., Fuentes, D., Prudhomme, S., Rylander, M. N., Stafford, R. J., and Zhang, Y.. ""Dynamic data-driven finite element models for laser treatment of prostate cancer"," Num. Meth. PDE, v.23(4), 2007, p. 904.
Oden, JT; Diller, KR; Bajaj, C; Browne, JC; Hazle, J; Babuska, I; Bass, J; Biduat, L; Demkowicz, L; Elliott, A; Feng, Y; Fuentes, D; Prudhomme, S; Rylander, MN; Stafford, RJ; Zhang, Y. "Dynamic data-driven finite element models for laser treatment of cancer," NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, v.23, 2007, p. 904-922.
Park, S; Bajaj, C. "Feature selection of 3D volume data through multi-dimensional transfer functions," PATTERN RECOGNITION LETTERS, v.28, 2007, p. 367-374.
Rylander, M.N, Feng, Y., Bass, J. and Diller, K.R.. ""Heat Shock Protein Expression and Injury Optimization for Laser Therapy Design"," Lasers in Surgery and Medicine, v.39, 2007, p. 731.
Zhang, Y., Bazilives, Y., Goswami, S., Hughes, T., Bajaj, C.. ""Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow"," Computer Methods in Applied Mechanics and Engineering (CMAME), v.196:29-, 2007, p. 2943.
Zhang, YJ; Bajaj, C. "Adaptive and quality quadrilateral/hexahedral meshing from volumetric data," COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.195, 2006, p. 942-960.
Zhang, YJ; BazilevS, Y; GoswaMi, S; Bajaj, CL; Hughes, TJR. "Patient-specific vascular NURBS modeling for isogeometric analysis of blood flow," COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.196, 2007, p. 2943-2959.
Zhang, YJ; Xu, GL; Bajaj, C. "Quality meshing of implicit solvation models of biomolecular structures," COMPUTER AIDED GEOMETRIC DESIGN, v.23, 2006, p. 510-530.
