Reconstruction of Fetal Imaging During Pregnancy with the Electrical Impedance Imaging Technique

 
 
 
  • Abstract
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  • Abstract


    Intelligent fetal imaging techniques are required to monitor the development of fetal growth and fetal condition during pregnancy period. Conventional fetal imaging techniques such as fetal ultrasound and Cardiotocogram (CTG) are expensive and uncomfortable to the patient. In this study, we developed an electrical impedance tomography (EIT) imaging method to reconstruct fetal images. EIT is a non-invasive and  low cost medical imaging technique that reconstructs the internal resistivity distribution of fetus by injecting electrical currents and measure the resulting voltages through the electrodes which are placed on the boundary of pregnant abdomen. Finite element method (FEM) used as an EIT forward solver and  inverse solver based on Newton-Raphson method with Tikhonov regularization is used to estimate the electrical resistivity distribution of the fetus inside the pregnant abdomen. To investigate the performance of proposed EIT fetal imaging method, we performed numerical simulations with different locations of fetus in the pregnant abdomen shaped mesh.  Numerical simulation results are shown that the EIT imaging with Newton-Raphson method (mNR) could be applied to the fetal imaging during pregnancy period.

     

     



  • Keywords


    Fetal imaging; Electrical impedance tomography; FEM; Newton-Rapson method; pregnant abdomen; Tikhonov regularization.

  • References


      [1] Wu, Lingyun, et al. "FUIQA: Fetal ultrasound image quality assessment with deep convolutional networks." IEEE transactions on cybernetics 47.5 (2017): 1336-1349.

      [2] Jeiewski, et al. "Fetal monitoring with automated analysis of cardiotocogram: the KOMPOR system." Engineering in Medicine and Biology Society, 1993. Proceedings of the 15th Annual International Conference of the IEEE. IEEE, 1993.

      [3] Kainz, Bernhard, et al. "Adaptive scan strategies for fetal MRI imaging using slice to volume techniques." Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on. IEEE, 2015.

      [4] Wasimuddin,et al. "Design and implementation of Least Mean Square adaptive filter on fetal electrocardiography." American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the. IEEE, 2014.

      [5] Sarwan, et al. "Development of a non-invasive point of care diagnostic tool for fetal monitoring using electrical impedance based approach." Point-of-Care Healthcare Technologies (PHT), 2013 IEEE. IEEE, 2013.


 

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Article ID: 19060
 
DOI: 10.14419/ijet.v7i3.7.19060




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