Title :
Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy
Author :
Fuentes, David ; Feng, Yusheng ; Elliott, Andrew ; Shetty, Anil ; McNichols, Roger J. ; Oden, J. Tinsley ; Stafford, R.J.
Author_Institution :
Dept. of Imaging Phys., Univ. of Texas M.D. Anderson Cancer Center, Houston, TX, USA
fDate :
5/1/2010 12:00:00 AM
Abstract :
The treatment times of laser induced thermal therapies (LITT) guided by computational prediction are determined by the convergence behavior of partial differential equation (PDE)-constrained optimization problems. In this paper, we investigate the convergence behavior of a bioheat transfer constrained calibration problem to assess the feasibility of applying to real-time patient specific data. The calibration techniques utilize multiplanar thermal images obtained from the nondestructive in vivo heating of canine prostate. The calibration techniques attempt to adaptively recover the biothermal heterogeneities within the tissue on a patient-specific level and results in a formidable PDE constrained optimization problem to be solved in real time. A comprehensive calibration study is performed with both homogeneous and spatially heterogeneous biothermal model parameters with and without constitutive nonlinearities. Initial results presented here indicate that the calibration problems involving the inverse solution of thousands of model parameters can converge to a solution within three minutes and decrease the ||??||L 2 2 (0,T;L 2 (??)) norm of the difference between computational prediction and the measured temperature values to a patient-specific regime.
Keywords :
biomedical MRI; biothermics; convergence of numerical methods; heat transfer; laser applications in medicine; optimisation; partial differential equations; physiological models; radiation therapy; MR guided LITT; PDE constrained optimization problems; adaptive bioheat transfer models; bioheat transfer constrained calibration problem; biothermal heterogeneities; canine prostate; computer driven LITT; constitutive nonlinearities; heterogeneous biothermal model parameters; laser induced thermal therapy; multiplanar thermal images; optimization problem convergence behavior; partial differential equation; real time bioheat transfer models; Magnetic resonance (MR) temperature imaging; PDE-constrained optimization; real-time computing; Animals; Body Temperature; Computer Simulation; Computer Systems; Energy Transfer; Humans; Hyperthermia, Induced; Image Interpretation, Computer-Assisted; Laser Therapy, Low-Level; Magnetic Resonance Imaging; Models, Biological; Therapy, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2037733