Real-time tumor ablation simulation based on the dynamic mode decomposition method

被引:22
作者
Bourantas, George C. [1 ]
Ghommem, Mehdi [2 ]
Kagadis, George C. [3 ,4 ]
Katsanos, Konstantinos [5 ]
Loukopoulos, Vassilis C. [6 ]
Burganos, Vasilis N. [7 ]
Nikiforidis, George C. [3 ]
机构
[1] Max Planck Inst Mol Cell Biol & Genet, MOSAIC Grp, D-01307 Dresden, Germany
[2] King Abdullah Univ Sci & Technol, Ctr Numer Porous Media NumPor, Thuwal 239556900, Saudi Arabia
[3] Univ Patras, Sch Med, Dept Med Phys, GR-26504 Rion, Greece
[4] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 USA
[5] St Thomas Hosp, Kings Coll London, Div Endovascular Spine & Intervent Oncol, London SE1 7EH, England
[6] Univ Patras, Dept Phys, Rion 26500, Greece
[7] Fdn Res & Technol, Inst Chem Engn Sci, Patras 26504, Greece
关键词
bioheat equation; Eulerian; meshless method; moving least squares; thermal ablation; CONTRAST POROUS MEDIA; TISSUE TEMPERATURE; HEAT-TRANSFER; HYPERTHERMIA; PERFUSION; BEHAVIOR; FLOWS;
D O I
10.1118/1.4870976
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: The dynamic mode decomposition (DMD) method is used to provide a reliable forecasting of tumor ablation treatment simulation in real time, which is quite needed in medical practice. To achieve this, an extended Pennes bioheat model must be employed, taking into account both the water evaporation phenomenon and the tissue damage during tumor ablation. Methods: A meshless point collocation solver is used for the numerical solution of the governing equations. The results obtained are used by the DMD method for forecasting the numerical solution faster than the meshless solver. The procedure is first validated against analytical and numerical predictions for simple problems. The DMD method is then applied to three-dimensional simulations that involve modeling of tumor ablation and account for metabolic heat generation, blood perfusion, and heat ablation using realistic values for the various parameters. Results: The present method offers very fast numerical solution to bioheat transfer, which is of clinical significance in medical practice. It also sidesteps the mathematical treatment of boundaries between tumor and healthy tissue, which is usually a tedious procedure with some inevitable degree of approximation. The DMD method provides excellent predictions of the temperature profile in tumors and in the healthy parts of the tissue, for linear and nonlinear thermal properties of the tissue. Conclusions: The low computational cost renders the use of DMD suitable for in situ real time tumor ablation simulations without sacrificing accuracy. In such a way, the tumor ablation treatment planning is feasible using just a personal computer thanks to the simplicity of the numerical procedure used. The geometrical data can be provided directly by medical image modalities used in everyday practice. (C) 2014 American Association of Physicists in Medicine.
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页数:11
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