A conformal focusing microwave hyperthermia system based on differential algorithm

doi:10.7523/j.issn.2095-6134.2020.05.016

›› 2020, Vol. 37 ›› Issue (5): 708-713.DOI: 10.7523/j.issn.2095-6134.2020.05.016

• Brief Reports • Previous Articles Next Articles

A conformal focusing microwave hyperthermia system based on differential algorithm

XU Lifan^1,2,3, WANG Xiong¹

1. ShanghaiTech University, Shanghai 201210, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China

Received:2019-03-01 Revised:2019-05-06 Online:2020-09-15
Supported by:

Abstract

Abstract: Focusing microwave hyperthermia, as a new non-invasive treatment, can be applied to the treatment of breast cancer. A prototype of conformal focusing microwave hyperthermia based on differential evolution algorithm is proposed. The operating frequency of the focusing antenna array is 2.45 GHz, and a real-time compressive sensing thermoacoustic imaging system is integrated to improve the visibility of focusing state. The focusing thermotherapy strategy of the prototype is expounded, and the focusing effect of the prototype is compared with that of the common prototype. Finally, joint simulation indicates that the focusing effect of the prototype based on differential evolution algorithm is better than that of the conventional prototype.

Key words: focusing microwave hyperthermia, differential evolution algorithm, thermoacoustic image, compressive sensing

CLC Number:

TN99

XU Lifan, WANG Xiong. A conformal focusing microwave hyperthermia system based on differential algorithm[J]. , 2020, 37(5): 708-713.

References

[1] Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA:A Cancer Journal for Clinicians, 2018, 68(6):394-424.
[2] Stauffer P R, Maccarini P, Arunachalam K, et al. Conformal microwave array (CMA) applicators for hyperthermia of diffuse chest wall recurrence[J]. International Journal of Hyperthermia, 2010, 26(7):686-698.
[3] Cheng K S, Dewhirst M W, Stauffer P R, et al. Effective learning strategies for real-time image-guided adaptive control of multiple-source hyperthermia applicators[J]. Medical physics, 2010, 37(3):1285-1297.
[4] Jones E, Thrall D, Dewhirst M W, et al. Prospective thermal dosimetry:the key to hyperthermia's future[J]. International Journal of Hyperthermia, 2006, 22(3):247-253.
[5] Falk M H, Issels R D. Hyperthermia in oncology[J]. International Journal of Hyperthermia, 2001, 17(1):1-18.
[6] Saniei N. Hyperthermia and cancer treatment[J]. Heat Transfer Engineering, 2009, 30(12):915-917.
[7] Nguyen P T, Abbosh A, Crozier S. Three-dimensional microwave hyperthermia for breast cancer treatment in a realistic environment using particle swarm optimization[J]. IEEE Transactions on Biomedical Engineering, 2017, 64(6):1335-1344.
[8] Patch S K, Hull D, Thomas M, et al. Thermoacoustic contrast of prostate cancer due to heating by very high frequency irradiation[J]. Physics in Medicine & Biology, 2015, 60(2):689.
[9] Lou C, Yang S, Ji Z, et al. Erratum:ultrashort microwave-induced thermoacoustic imaging:a breakthrough in excitation efficiency and spatial resolution[Phys. Rev. Lett. 109, 218101(2012)] [J]. Physical Review Letters, 2014, 112(11):119904.
[10] Stang J, Haynes M, Carson P, et al. A preclinical system prototype for focused microwave thermal therapy of the breast[J]. IEEE Transactions on Biomedical Engineering, 2012, 59(9):2431-2438.
[11] Cappiello G, Mc Ginley B, Elahi M A, et al. Differential evolution optimization of the SAR distribution for head and neck hyperthermia[J]. IEEE Transactions on Biomedical Engineering, 2017, 64(8):1875-1885.
[12] Storn R, Price K. Differential evolution:a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of Global Optimization, 1997, 11(4):341-359.
[13] Cai H R, Chung C Y, Wong K P. Application of differential evolution algorithm for transient stability constrained optimal power flow[J]. IEEE Transactions on Power Systems, 2008, 23(2):719-728.
[14] Das S, Suganthan P N. Differential evolution:a survey of the state-of-the-art[J]. IEEE Transactions on Evolutionary Computation, 2011, 15(1):4-31.
[15] Hynynen K, McDannold N. MRI guided and monitored focused ultrasound thermal ablation methods:a review of progress[J]. International Journal of Hyperthermia, 2004, 20(7):725-737.
[16] Haynes M, Stang J, Moghaddam M. Real-time microwave imaging of differential temperature for thermal therapy monitoring[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(6):1787-1797.
[17] Xu M, Xu Y, Wang L V. Time-domain reconstruction algorithms and numerical simulations for thermoacoustic tomography in various geometries[J]. IEEE Transactions on biomedical engineering, 2003, 50(9):1086-1099.
[18] Xu L, Wang B, Lin Z, et al. A novel monitoring technique for breast cancer hyperthermia using thermoacoustic imaging[C]//2018 International Workshop on Antenna Technology (iWAT). IEEE, 2018:1-4.
[19] 贾志成, 王娜娜, 陈雷, 等. 基于非线性函数和简化粒子群优化的盲源分离算法[J]. 中国科学院大学学报, 2014, 31(4):530-536.
[20] 田野, 张冰尘, 洪文. 基于分布式压缩感知的重轨干涉SAR形变检测方法与实验[J]. 中国科学院大学学报, 2016, 33(1):107-114.

A conformal focusing microwave hyperthermia system based on differential algorithm

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 1

Recommended Articles

Metrics

Comments