Adaptive Real-Time Bioheat Transfer Models for Computer-Driven MR-Guided Laser Induced Thermal Therapy

• Published in: IEEE transactions on biomedical engineering 2010-05, Vol.57 (5), p.1024-1030
• Main Authors: Fuentes, David, Feng, Yusheng, Elliott, Andrew, Shetty, Anil, McNichols, Roger J., Oden, J. Tinsley, Stafford, R. J.
• Format: Article
• Language: English
• Subjects: Animals; Biological and medical sciences; Body Temperature - physiology; Body Temperature - radiation effects; Calibration; Computer Simulation; Computer Systems; Computerized, statistical medical data processing and models in biomedicine; Constraint optimization; Constraints; Convergence; Energy Transfer - physiology; Genital system. Mammary gland; Heating; Humans; Hyperthermia, Induced - methods; Image Interpretation, Computer-Assisted - methods; In vivo; Laser modes; Lasers; Low-Level Light Therapy - methods; Magnetic resonance (MR) temperature imaging; Magnetic Resonance Imaging - methods; Mathematical models; Medical sciences; Medical treatment; Models and simulation; Models, Biological; Operations research; Optimization; Partial differential equations; PDE-constrained optimization; Predictive models; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects); Real time; real-time computing; Studies; Temperature measurement; Therapy; Therapy, Computer-Assisted - methods
• ISSN: 0018-9294; 1558-2531
• DOI: 10.1109/TBME.2009.2037733

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.