Simulation research of respiratory monitoring with magnetic detection electrical impedance tomography_Journal of Biomedical Engineering

Authors：

WANG Huiquan , YIN Jianli , LI Guangxu , FENG Yanbo , WANG Jinhai ,  CHEN Ruijuan

Tianjin Key Laboratory of Photoelectric Detection Technology and System, Tianjin Polytechnic University, Tianjin 300387, P.R.China;

Corresponding?author：

CHEN Ruijuan, Email: chenruijuan@tjpu.edu.cn

Keywords：

magnetic detection electrical impedance tomography; forward problem; finite element method; magnetic induction intensity

DOI：

10.7507/1001-5515.201604083

Video：

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In order to explore the feasibility of applying magnetic detection electrical impedance tomography (MDEIT) on respiratory monitoring, aiming at the forward problem of magnetic detection electrical impedance tomography, we calculated the electric potential and current density distribution inside the imaging object by using the finite element method. We then got magnetic induction intensity outside the object at the end of exhaling and inhaling according to Biot-Savart's law. The results showed that the magnetic induction intensity at the end of inhaling was 8.875%, less than that at the end of exhaling. By the simulation results, we could understand the difference of magnetic induction intensity value surrounding the lung at the end of exhaling and inhaling due to the change of lung volume and electrical conductivity distribution better. Our research laid the foundation for the late image reconstruction and clinical disease detection.

Citation： WANGHuiquan, YINJianli, LIGuangxu, FENGYanbo, WANGJinhai, CHENRuijuan. Simulation research of respiratory monitoring with magnetic detection electrical impedance tomography. Journal of Biomedical Engineering, 2017, 34(1): 27-33. doi: 10.7507/1001-5515.201604083 Copy

1.	?陳云芝, 徐桂芝, 周茜, 等. 基于脈沖時間依賴可塑性的自適應神經網絡抗擾能力研究. 生物醫學工程學雜志, 2015, 32(1)): 25-31.
2.	朱險峰, 蘇益錦, 余輝. 物理人建模及應用的研究現狀與展望. 生物醫學工程學雜志, 2014, 31(6): 1384-1388.
3.	周永軍, 張輝, 牛中奇. 高頻低能電磁環境頭顱內電場應力分析. 生物醫學工程學雜志, 2015, 32(2): 295-299.
4.	Henderson R P, Webster T G. An impedance camera for spatially specific measurements of the thorax. IEEE Trans Biomed Eng, 1978, 25: 250-254.
5.	Suchomel J, Sobota V. A model of end-expiratory lung impedance-pendency on total extracellular body water//XIV Conference on Electrical Impendance Tomography, 2013: 1-4.
6.	Ferrario D, Grychtol B, Adler A, et al. Toward morphological thoracic EIT: major signal sources correspond to respective organ locations in CT. IEEE Trans Biomed Eng, 2012, 59(11): 3000-3008.
7.	Zhao Z, Fischer R, Frerichs I, et al. Regional ventilation in cystic fibrosis measure by electrical impedance tomography. J.Cyst.Fibro, 2012, 11(5): 412-418.
8.	Pavl D, Anatolij T, Josef P, et al. Assessment of regional ventilation with the electrical impedance tomography in a patient after asphyxia cardiac arrest. Resuscitation, 2014, 85(8): 115-117.
9.	Karsten J, Bohlmann M, Sedemund-Adib B, et al. Electrical impedance tomography May optimize ventilation in a postpartum Woman with respiratory failure. Int J Obstet Anesth, 2013, 22(1): 67-71.
10.	Brunner P, Mayer M, Hinghofer-Szalkay H A, et al. Imaging of local lung ventilation under different gravitational conditions with electrical impedance tomography. Acta Astronaut, 2007, 60(4/7): 281-284.
11.	陳瑞娟. 三維開放式磁共振電阻抗成像的研究. 天津: 天津大學, 2012.
12.	李蔚琛, 史學濤, 夏軍營, 等. 用于生物電阻抗成像系統的鏡像反饋電流源的研究. 醫療衛生裝備, 2015, 36(2): 1-5.
13.	譚春曉. 基于信賴域方法的電阻抗斷層成像研究. 天津: 河北工業大學, 2013.
14.	Ahlfors S, IIMONIEMIR. Magnetic imaging of conductivity//14th Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, France: 1992: 1717-1718.
15.	Tozer J C, Ireland R H, Barber D C, et al. Magnetic impedance tomography. Ann N Y Acad Sci, 1999, 873(1): 353-359.
16.	Ireland R H, Tozer J C, Barker A T, et al. Towards magnetic detection electrical impedance tomography: data acquisition and image Reconstruction of current density in phantoms and in vivo. Physiol Meas, 2004, 25(3): 775-796.
17.	Barber D, Brown B. Applied potential tomography. J Br Interplanet Soc, 1989, 42(7): 391-393.
18.	Dehghanih. Barber D C, Basarrab H I. Incorparating a prioriannatomical information into image Reconstruction in electrical impedance tomography. Physiol Meas, 1999, 20: 87-102.
19.	National Cancer Institute. 肺癌圖像數據庫聯盟, (2016-04-23)[2016-04-28].
20.	Faes T, van der Meij H, de Munck J, et al. The electric resistivity of human tissues (100 Hz-10 MHz): a meta-analysis of review studies. Physiol Meas, 1999, 20(4): R1-10.

1. ?陳云芝, 徐桂芝, 周茜, 等. 基于脈沖時間依賴可塑性的自適應神經網絡抗擾能力研究. 生物醫學工程學雜志, 2015, 32(1)): 25-31.
2. 朱險峰, 蘇益錦, 余輝. 物理人建模及應用的研究現狀與展望. 生物醫學工程學雜志, 2014, 31(6): 1384-1388.
3. 周永軍, 張輝, 牛中奇. 高頻低能電磁環境頭顱內電場應力分析. 生物醫學工程學雜志, 2015, 32(2): 295-299.
4. Henderson R P, Webster T G. An impedance camera for spatially specific measurements of the thorax. IEEE Trans Biomed Eng, 1978, 25: 250-254.
5. Suchomel J, Sobota V. A model of end-expiratory lung impedance-pendency on total extracellular body water//XIV Conference on Electrical Impendance Tomography, 2013: 1-4.
6. Ferrario D, Grychtol B, Adler A, et al. Toward morphological thoracic EIT: major signal sources correspond to respective organ locations in CT. IEEE Trans Biomed Eng, 2012, 59(11): 3000-3008.
7. Zhao Z, Fischer R, Frerichs I, et al. Regional ventilation in cystic fibrosis measure by electrical impedance tomography. J.Cyst.Fibro, 2012, 11(5): 412-418.
8. Pavl D, Anatolij T, Josef P, et al. Assessment of regional ventilation with the electrical impedance tomography in a patient after asphyxia cardiac arrest. Resuscitation, 2014, 85(8): 115-117.
9. Karsten J, Bohlmann M, Sedemund-Adib B, et al. Electrical impedance tomography May optimize ventilation in a postpartum Woman with respiratory failure. Int J Obstet Anesth, 2013, 22(1): 67-71.
10. Brunner P, Mayer M, Hinghofer-Szalkay H A, et al. Imaging of local lung ventilation under different gravitational conditions with electrical impedance tomography. Acta Astronaut, 2007, 60(4/7): 281-284.
11. 陳瑞娟. 三維開放式磁共振電阻抗成像的研究. 天津: 天津大學, 2012.
12. 李蔚琛, 史學濤, 夏軍營, 等. 用于生物電阻抗成像系統的鏡像反饋電流源的研究. 醫療衛生裝備, 2015, 36(2): 1-5.
13. 譚春曉. 基于信賴域方法的電阻抗斷層成像研究. 天津: 河北工業大學, 2013.
14. Ahlfors S, IIMONIEMIR. Magnetic imaging of conductivity//14th Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, France: 1992: 1717-1718.
15. Tozer J C, Ireland R H, Barber D C, et al. Magnetic impedance tomography. Ann N Y Acad Sci, 1999, 873(1): 353-359.
16. Ireland R H, Tozer J C, Barker A T, et al. Towards magnetic detection electrical impedance tomography: data acquisition and image Reconstruction of current density in phantoms and in vivo. Physiol Meas, 2004, 25(3): 775-796.
17. Barber D, Brown B. Applied potential tomography. J Br Interplanet Soc, 1989, 42(7): 391-393.
18. Dehghanih. Barber D C, Basarrab H I. Incorparating a prioriannatomical information into image Reconstruction in electrical impedance tomography. Physiol Meas, 1999, 20: 87-102.
19. National Cancer Institute. 肺癌圖像數據庫聯盟, (2016-04-23)[2016-04-28].
20. Faes T, van der Meij H, de Munck J, et al. The electric resistivity of human tissues (100 Hz-10 MHz): a meta-analysis of review studies. Physiol Meas, 1999, 20(4): R1-10.

Journal of Biomedical Engineering

Simulation research of respiratory monitoring with magnetic detection electrical impedance tomography

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