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.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Real-time mode decomposition for few-mode fiber based on numerical method
    Huang, Liangjin
    Guo, Shaofeng
    Leng, Jinyong
    Lu, Haibin
    Zhou, Pu
    Cheng, Xiang'ai
    OPTICS EXPRESS, 2015, 23 (04): : 4620 - 4629
  • [2] Real-time and dynamic time transfer method based on double-differenced real-time kinematic mode
    Tu, Rui
    Zhang, Pengfei
    Zhang, Rui
    Fan, Lihong
    Han, Junqiang
    Hong, Ju
    Liu, Jinhai
    Lu, Xiaochun
    IET RADAR SONAR AND NAVIGATION, 2021, 15 (02): : 143 - 153
  • [3] Liver tumor ablation: Real-time monitoring with dynamic CT
    Hahn, PF
    Gazelle, GS
    Jiang, DY
    Compton, CC
    Goldberg, SN
    Mueller, PR
    ACADEMIC RADIOLOGY, 1997, 4 (09) : 634 - 638
  • [4] Real-time identification of electromechanical oscillations through dynamic mode decomposition
    Berizzi, Alberto
    Bosisio, Alessandro
    Simone, Riccardo
    Vicario, Andrea
    Giannuzzi, Giorgio
    Pisani, Cosimo
    Zaottini, Roberto
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (19) : 3992 - 3999
  • [5] Deep Mode Decomposition: Real-Time Mode Decomposition of Multimode Fibers Based on Unsupervised Learning
    Jiang, Min
    An, Yi
    Su, Rongtao
    Huang, Liangjin
    Li, Jun
    Ma, Pengfei
    Ma, Yanxing
    Zhou, Pu
    IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2022, 28 (04)
  • [6] Real-time Simulation of Dynamic Cloud Based on Fractal
    Hu, Dabin
    Xiao, Jianbo
    Hu, Jinhui
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 2841 - 2845
  • [7] Dynamic Mode Decomposition for Real-Time System Estimation of Induction Motor Drives
    Gultekin, Muhammed Ali
    Zhang, Zhe
    Bazzi, Ali
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (02) : 1836 - 1848
  • [8] A Real-Time Hybrid Fire Simulation Method Based on Dynamic Relaxation and Partitioned Time Integration
    Abbiati, Giuseppe
    Covi, Patrick
    Tondini, Nicola
    Bursi, Oreste S.
    Stojadinovic, Bozidar
    JOURNAL OF ENGINEERING MECHANICS, 2020, 146 (09)
  • [9] Real-time states estimation of a farm tractor using dynamic mode decomposition
    Hao Wang
    Noboru Noguchi
    GPS Solutions, 2021, 25
  • [10] Real-time states estimation of a farm tractor using dynamic mode decomposition
    Wang, Hao
    Noguchi, Noboru
    GPS SOLUTIONS, 2020, 25 (01)