An <i>in vivo</i> study of ultrasonic monitoring imaging of microwave ablation based on Nakagami statistic parameter_Journal of Biomedical Engineering

Authors：

WU Shan , SHANG Shaoqiang , WANG Xuewei , WAN Mingxi ,  ZHANG Siyuan

Department of Biomedical Engineering, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, P.R. China;

Corresponding author：

ZHANG Siyuan, Email: xjtusyzhang@mail.xjtu.edu.cn

Keywords：

microwave ablation; ultrasound imaging; monitor; Nakagami

DOI：

10.7507/1001-5515.201810031

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

This paper explored the feasibility of using ultrasonic Nakagami statistic parameter imaging to evaluate the thermal lesion induced by microwave ablation (MWA) in porcine models. In this paper, thermal lesions were induced in livers and kidneys in 5 swines using a clinical MWA system. During this treatment progress, ultrasonic radiofrequency (RF) data were collected. The dynamic changes of Nakagami parameter in the thermal lesion were calculated, and the ultrasonic B-mode images and Nakagami images were reconstructed simultaneously. The contrast-to-noise ratio (CNR) between the thermal lesion and the surrounding normal tissue was calculated over the MWA procedure. After MWA, a bright hyperechoic region appeared in the ultrasonic Nakagami image as an indicator of the thermal lesion and this bright spot enlarged with lesion development during MWA exposure. The mean value of Nakagami parameter in the liver and kidney increased from 0.78 and 0.79 before treatment to 0.91 and 0.92 after treatment, respectively. During MWA exposure, the mean values of CNR calculated from the Nakagami parameter increased from 0.49 to 1.13 in the porcine liver and increased from 0.51 to 0.85 in the kidney, which were both higher than those calculated from the B-mode images. This in vivo study on porcine models suggested that the ultrasonic Nakagami imaging may provide an alternative modality for monitoring MWA treatment.

Citation： WU Shan, SHANG Shaoqiang, WANG Xuewei, WAN Mingxi, ZHANG Siyuan. An in vivo study of ultrasonic monitoring imaging of microwave ablation based on Nakagami statistic parameter. Journal of Biomedical Engineering, 2019, 36(3): 371-378. doi: 10.7507/1001-5515.201810031 Copy

1.	Hakime A, Yevich S, Tselikas L, et al. Percutaneous thermal ablation with ultrasound guidance. Fusion imaging guidance to improve conspicuity of liver metastasis. Cardiovasc Inter Rad, 2017, 40(5): 721-727.
2.	Zhou Wenbin, Wang Ruoxi, Liu Xiaoan, et al. Ultrasound-guided microwave ablation: a promising tool in management of benign breast tumours. International Journal of Hyperthermia, 2017, 33(3): 263-270.
3.	Birkl C, Langkammer C, Haybaeck J, et al. Temperature-Induced changes of magnetic resonance relaxation times in the human brain: a postmortem study. Magn Reson Med, 2014, 71(4): 1575-1580.
4.	Mauri G, Cova L, de Beni S, et al. Real-time US-CT/MRI image fusion for guidance of thermal ablation of liver tumors undetectable with US: results in 295 cases. Cardiovasc Intervent Radiol, 2015, 38(1): 143-151.
5.	Seo C H, Shi Yan, Huang Shengwen, et al. Thermal strain imaging: a review. Interface Focus, 2011, 1(4): 649-664.
6.	Tsui P H, Chien Y T, Liu Haoli, et al. Using ultrasound CBE imaging without echo shift compensation for temperature estimation. Ultrasonics, 2012, 52(7): 925-935.
7.	Bevan P D, Sherar M D. B-scan ultrasound imaging of thermal coagulation in bovine liver: frequency shift attenuation mapping. Ultrasound Med Biol, 2001, 27(6): 809-817.
8.	Zhou Zhuhuang, Sheng Lei, Wu Shuicai, et al. Ultrasonic evaluation of microwave-induced thermal lesions based on wavelet analysis of mean scatterer spacing. Ultrasonics, 2013, 53(7): 1325-1331.
9.	Subramanian S, Rudich S M, Alqadah A A, et al. In vivo thermal ablation monitoring using ultrasound echo decorrelation imaging. Ultrasound in Medicine and Biology, 2014, 40(1): 102-114.
10.	Liang Ping, Wang Yang, Zhang Dakun, et al. Ultrasound guided percutaneous microwave ablation for small renal cancer: initial experience. J Urol, 2008, 180(3): 844-848.
11.	Zhang Siyuan, Li Chong, Zhou Fanyu, et al. Enhanced lesion-to-bubble ratio on ultrasonic Nakagami imaging for monitoring of high-intensity focused ultrasound. Journal of Ultrasound in Medicine, 2014, 33(6): 959-970.
12.	Zhang Siyuan, Han Yuqiang, Zhu Xingguang, et al. Feasibility of using ultrasonic Nakagami imaging for monitoring microwave-induced thermal lesion in ex vivo porcine liver. Ultrasound in Medicine and Biology, 2017, 43(2): 482-493.
13.	Shankar P M, Dumane V A, Reid J M, et al. Classification of ultrasonic B-mode images of breast masses using Nakagami distribution. IEEE Trans Ultrason Ferroelectr Freq Control, 2001, 48(2): 569-580.
14.	Greenwood J A, Durand D. Aids for fitting the gamma distribution by maximum likelihood. Technometrics, 1960, 2(1): 55-65.
15.	Tsui P H, Tsai Y W. Artifact reduction of ultrasound Nakagami imaging by combining multifocus image reconstruction and the noise-assisted correlation algorithm. Ultrason Imaging, 2015, 37(1): 53-69.
16.	Tsui P H, Wan Y L, Tai D I, et al. Effects of estimators on ultrasound Nakagami imaging in visualizing the change in the backscattered statistics from a rayleigh distribution to a pre-rayleigh distribution. Ultrasound in Medicine and Biology, 2015, 41(8): 2240-2251.
17.	Tsui P H, Yeh C K, Huang C C. Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images. IEEE Transactions on Information Technology in Biomedicine, 2012, 16(3): 314-322.
18.	Wang C Y, Geng Xiaonan, Yeh T S, et al. Monitoring radiofrequency ablation with ultrasound Nakagami imaging. Med Phys, 2013, 40(7): 072901.
19.	Zhang Siyuan, Zhou Fanyu, Wan Mingxi, et al. Feasibility of using Nakagami distribution in evaluating the formation of ultrasound-induced thermal lesions. Journal of the Acoustical Society of America, 2012, 131(6): 4836-4844.
20.	Foley J L, Vaezy S, Crum L A. Applications of high-intensity focused ultrasound in medicine: spotlight on neurological applications. Applied Acoustics, 2007, 68(3): 245-259.

1. Hakime A, Yevich S, Tselikas L, et al. Percutaneous thermal ablation with ultrasound guidance. Fusion imaging guidance to improve conspicuity of liver metastasis. Cardiovasc Inter Rad, 2017, 40(5): 721-727.
2. Zhou Wenbin, Wang Ruoxi, Liu Xiaoan, et al. Ultrasound-guided microwave ablation: a promising tool in management of benign breast tumours. International Journal of Hyperthermia, 2017, 33(3): 263-270.
3. Birkl C, Langkammer C, Haybaeck J, et al. Temperature-Induced changes of magnetic resonance relaxation times in the human brain: a postmortem study. Magn Reson Med, 2014, 71(4): 1575-1580.
4. Mauri G, Cova L, de Beni S, et al. Real-time US-CT/MRI image fusion for guidance of thermal ablation of liver tumors undetectable with US: results in 295 cases. Cardiovasc Intervent Radiol, 2015, 38(1): 143-151.
5. Seo C H, Shi Yan, Huang Shengwen, et al. Thermal strain imaging: a review. Interface Focus, 2011, 1(4): 649-664.
6. Tsui P H, Chien Y T, Liu Haoli, et al. Using ultrasound CBE imaging without echo shift compensation for temperature estimation. Ultrasonics, 2012, 52(7): 925-935.
7. Bevan P D, Sherar M D. B-scan ultrasound imaging of thermal coagulation in bovine liver: frequency shift attenuation mapping. Ultrasound Med Biol, 2001, 27(6): 809-817.
8. Zhou Zhuhuang, Sheng Lei, Wu Shuicai, et al. Ultrasonic evaluation of microwave-induced thermal lesions based on wavelet analysis of mean scatterer spacing. Ultrasonics, 2013, 53(7): 1325-1331.
9. Subramanian S, Rudich S M, Alqadah A A, et al. In vivo thermal ablation monitoring using ultrasound echo decorrelation imaging. Ultrasound in Medicine and Biology, 2014, 40(1): 102-114.
10. Liang Ping, Wang Yang, Zhang Dakun, et al. Ultrasound guided percutaneous microwave ablation for small renal cancer: initial experience. J Urol, 2008, 180(3): 844-848.
11. Zhang Siyuan, Li Chong, Zhou Fanyu, et al. Enhanced lesion-to-bubble ratio on ultrasonic Nakagami imaging for monitoring of high-intensity focused ultrasound. Journal of Ultrasound in Medicine, 2014, 33(6): 959-970.
12. Zhang Siyuan, Han Yuqiang, Zhu Xingguang, et al. Feasibility of using ultrasonic Nakagami imaging for monitoring microwave-induced thermal lesion in ex vivo porcine liver. Ultrasound in Medicine and Biology, 2017, 43(2): 482-493.
13. Shankar P M, Dumane V A, Reid J M, et al. Classification of ultrasonic B-mode images of breast masses using Nakagami distribution. IEEE Trans Ultrason Ferroelectr Freq Control, 2001, 48(2): 569-580.
14. Greenwood J A, Durand D. Aids for fitting the gamma distribution by maximum likelihood. Technometrics, 1960, 2(1): 55-65.
15. Tsui P H, Tsai Y W. Artifact reduction of ultrasound Nakagami imaging by combining multifocus image reconstruction and the noise-assisted correlation algorithm. Ultrason Imaging, 2015, 37(1): 53-69.
16. Tsui P H, Wan Y L, Tai D I, et al. Effects of estimators on ultrasound Nakagami imaging in visualizing the change in the backscattered statistics from a rayleigh distribution to a pre-rayleigh distribution. Ultrasound in Medicine and Biology, 2015, 41(8): 2240-2251.
17. Tsui P H, Yeh C K, Huang C C. Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images. IEEE Transactions on Information Technology in Biomedicine, 2012, 16(3): 314-322.
18. Wang C Y, Geng Xiaonan, Yeh T S, et al. Monitoring radiofrequency ablation with ultrasound Nakagami imaging. Med Phys, 2013, 40(7): 072901.
19. Zhang Siyuan, Zhou Fanyu, Wan Mingxi, et al. Feasibility of using Nakagami distribution in evaluating the formation of ultrasound-induced thermal lesions. Journal of the Acoustical Society of America, 2012, 131(6): 4836-4844.
20. Foley J L, Vaezy S, Crum L A. Applications of high-intensity focused ultrasound in medicine: spotlight on neurological applications. Applied Acoustics, 2007, 68(3): 245-259.

Previous Article
Study on the improvement of brain cognitive function status by mind-control game training
Next Article
Design of an axial blood pump of diffuser with splitter blades and cantilevered main blades

Journal of Biomedical Engineering

An in vivo study of ultrasonic monitoring imaging of microwave ablation based on Nakagami statistic parameter

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content