Magnetic interstitial hyperthermia is a hopeful treatment method for tumor. Before treatment, the tumor would be embedded with a number of ferromagnetic seeds, which can produce energy under an alternating magnetic field. The tumor cells would be necrosed once the temperature exceeding to a value. However, the normal tissue around the tumor is expected to be under safety. Hence, temperature simulation is necessary to avoid any mistake treatment planning, meanwhile, the calculation is required as quick as possible. We developed an efficient cellular automata (CA) numerical method to solve the bioheat transfer equation. The CA equation is derived from Lattice Boltzmann equation. As a discrete numerical method in space and time, CA can be used to deal with the complicated boundaries, such as the huge vessels incorporated in the tumor, which were not well treated in traditional methods. The model of ferromagnetic seed, which is critical to the numerical results, is treated with a simple numerical temperature model. In order to evaluate the proposed method, in vitro and in vivo experiments are carried out, respectively. After comparison between the numerical and the experimental results, the proposed method shows perfect calculation precision and high efficiency, which is significant for clinical treatment.
Skip Nav Destination
Article navigation
July 2014
Research-Article
Efficient Cellular Automata Method for Heat Transfer in Tumor
Wu Jinghua,
Wu Jinghua
1
Assistant Professor
Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Institute of Advanced Manufacturing Technology
,Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Changzhou
213164, China
;Department of Engineering Physics,
Tsinghua University,
Beijing 100084, China
e-mail: wjh@iamt.ac.cn
Tsinghua University,
Beijing 100084, China
e-mail: wjh@iamt.ac.cn
1Corresponding author.
Search for other works by this author on:
Chen Jian
Chen Jian
Associate Professor
Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Institute of Advanced Manufacturing Technology
,Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Changzhou
213164, China
Search for other works by this author on:
Wu Jinghua
Assistant Professor
Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Institute of Advanced Manufacturing Technology
,Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Changzhou
213164, China
;Department of Engineering Physics,
Tsinghua University,
Beijing 100084, China
e-mail: wjh@iamt.ac.cn
Tsinghua University,
Beijing 100084, China
e-mail: wjh@iamt.ac.cn
Guo Zhendong
Chen Jian
Associate Professor
Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Institute of Advanced Manufacturing Technology
,Hefei Institutes of Physical Science,
Chinese Academy of Sciences,
Changzhou
213164, China
1Corresponding author.
Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received July 9, 2013; final manuscript received March 4, 2014; published online March 21, 2014. Assoc. Editor: Zhixiong Guo.
J. Heat Transfer. Jul 2014, 136(7): 071101 (6 pages)
Published Online: March 21, 2014
Article history
Received:
July 9, 2013
Revision Received:
March 4, 2014
Accepted:
March 5, 2014
Citation
Jinghua, W., Zhendong, G., and Jian, C. (March 21, 2014). "Efficient Cellular Automata Method for Heat Transfer in Tumor." ASME. J. Heat Transfer. July 2014; 136(7): 071101. https://doi.org/10.1115/1.4027147
Download citation file:
50
Views
0
Citations
Get Email Alerts
Cited By
Numerical Investigation of Thermal-Hydraulic Performance of U-Tubes Enhanced With Ellipsoidal 45 deg Dimples
J. Heat Transfer (August 2022)
Revisiting the Schrage Equation for Kinetically Limited Evaporation and Condensation
J. Heat Transfer (August 2022)
Related Articles
Lagging Behavior in Biological Systems
J. Heat Transfer (May,2012)
Simulation of Phase Transition During Cryosurgical Treatment of a Tumor Tissue Loaded With Nanoparticles Using Meshfree Approach
J. Heat Transfer (December,2014)
Assessment of Thermal Damage During Skin Tumor Treatment Using Thermal Wave Model: A Realistic Approach
J. Heat Transfer (May,2017)
Advances in Finite Element Simulations of Elastosonography for Breast Lesion Detection
J Biomech Eng (August,2011)
Related Proceedings Papers
Related Chapters
Experimental Studies
Nanoparticles and Brain Tumor Treatment
Tumor Classification Using Dataset Splitting Based Neural Network Ensemble
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
Pixel Run Length Based Adaptive Region Growing (PRL-ARG)Technique for Segmentation of Tumor from MRI Images
International Conference on Computer and Electrical Engineering 4th (ICCEE 2011)