3D Printed Chest Models with Realistic Shape and Electrical Property for Electrical Impedance Tomography

被引:0
作者
Yang, Liu [1 ]
Yue, Shihong [1 ]
Wang, Zeying [1 ]
Liu, Xiaoyuan [1 ]
Wang, Huaxiang [1 ]
机构
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin, Peoples R China
来源
2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2019年
基金
中国国家自然科学基金;
关键词
electrical impedance tomography (EIT); 3D printing; conductivity; polylactic acid (PLA); carbon black (CB); chest model; LUNG;
D O I
10.1109/i2mtc.2019.8826914
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Electrical impedance tomography (FIT) is becoming a popular medical technology, including lung monitoring. Before instrumentation and reconstruction methods being applied clinically, experiments need to be carried out on models. However, existing models are usually with discontinuous structure and conductivity, which makes it difficult for researchers to replicate. A method for constructing chest model was proposed based on fused deposition modeling which is a typical 3D printing technology. Conductivity was controlled through a mixture of two kinds of materials polylactic acid (PLA) and PLA with carbon black (PLA/CB) under different proportions. Referring to an adult chest structure and conductivities of body tissues, a chest model was printed and tested in EIT measurement. Compared to the simulated results, the model can be used in HT effectively. This paper provides a feasible method of chest model construction with more accurate electrical properties and shapes. This model was tested in absolute reconstruction. The results validated the effectiveness of this method. This kind of chest model with electrical properties provides a more realistic environment for testing new EIT software or hardware.
引用
收藏
页码:1657 / 1661
页数:5
相关论文
共 17 条
[1]  
Andreuccetti D., 1997, INTERNET RESOURCE CA, V2018
[2]   Reproducible 3D printed head tanks for electrical impedance tomography with realistic shape and conductivity distribution [J].
Avery, James ;
Aristovich, Kirill ;
Low, Barney ;
Holder, David .
PHYSIOLOGICAL MEASUREMENT, 2017, 38 (06) :1116-1131
[3]   A review on image reconstruction algorithms for electrical capacitance/resistance tomography [J].
Cui, Ziqiang ;
Wang, Qi ;
Xue, Qian ;
Fan, Wenru ;
Zhang, Lingling ;
Cao, Zhang ;
Sun, Benyuan ;
Wang, Huaxiang ;
Yang, Wuqiang .
SENSOR REVIEW, 2016, 36 (04) :429-445
[4]   2D D-bar reconstructions of human chest and tank data using an improved approximation to the scattering transform [J].
DeAngelo, M. ;
Mueller, J. L. .
PHYSIOLOGICAL MEASUREMENT, 2010, 31 (02) :221-232
[5]   Bedside assessment of lung aeration and stretch [J].
Fernandez-Bustamante, A. ;
Melo, M. F. Vidal .
BRITISH JOURNAL OF ANAESTHESIA, 2018, 121 (05) :1001-1004
[6]   Electrical impedance tomography (EIT) in applications related to lung and ventilation: a review of experimental and clinical activities [J].
Frerichs, I .
PHYSIOLOGICAL MEASUREMENT, 2000, 21 (02) :R1-R21
[7]   A sub-domain based regularization method with prior information for human thorax imaging using electrical impedance tomography [J].
Kang, Suk In ;
Khambampati, Anil Kumar ;
Jeon, Min Ho ;
Kim, Bong Seok ;
Kim, Kyung Youn .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2016, 27 (02)
[8]   Estimation of conductivity distribution based on fast inversion using eigenvalue and eigenvector in electrical impedance tomography [J].
Kim, Bong Seok ;
Kim, Kyung Youn .
FLOW MEASUREMENT AND INSTRUMENTATION, 2015, 46 :276-283
[9]   Interval Simulated Annealing applied to Electrical Impedance Tomography image reconstruction with fast objective function evaluation [J].
Martins, Thiago de Castro ;
Guerra Tsuzuki, Marcos de Sales ;
Bueno de Camargo, Erick Dario Leon ;
Lima, Raul Gonzalez ;
de Moura, Fernando Silva ;
Passos Amato, Marcelo Brito .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2016, 72 (05) :1230-1243
[10]   Absolute Reconstructions Using Rotational Electrical Impedance Tomography for Breast Cancer Imaging [J].
Murphy, Ethan K. ;
Mahara, Aditya ;
Halter, Ryan J. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2017, 36 (04) :892-903