Skip to main content

Fetal Imaging with Dynamic Electrical Impedance Tomography Technique

Buy Article:

$107.14 + tax (Refund Policy)

The fetal movements are the primary parameters that are clinically significant for determining the fetal growth and well-being during pregnancy. Conventional methods such as ultrasound, magnetocardiography are expensive and cannot be used for continuous monitoring. Moreover, to operate the instruments and analyze the images, they need experts. For a better healthy pregnancy outcome, an appropriate, portable, low cost, non-invasive and continuous imaging technique is essential to reconstruct the fetal movements inside abdomen during pregnancy. As an alternative method, electrical impedance tomography can be used as a continuous fetal monitoring imaging tool. This work introduces dynamic electrical impedance tomography (EIT) imaging technique to reconstruct the fetus movements inside abdomen. Dynamic EIT is a non-invasive and non-ionizing imaging modality that can estimate and reconstruct the time varying conductivity distribution of fetus inside pregnant women by injecting a small magnitude of electrical currents through the skin electrodes placed on the surface of the abdomen and measuring the resulting voltages across the electrodes. The problem of estimating the time varying fetus conductivity distribution due to fetal movement is treated as a state estimation problem and the state variables are the conductivity of finite elements that are discretized across the abdomen. Extended Kalman filtering method is used as an inverse algorithm to estimate the time varying state variables. Numerical simulations with abdomen shaped mesh and phantom studies are done to verify the feasibility of dynamic EIT system for fetus monitoring.

Keywords: ELECTRICAL IMPEDANCE TOMOGRAPHY; EXTENDED KALMAN FILTER; FETAL MOVEMENTS; FINITE ELEMENT METHOD; IMAGE RECONSTRUCTION

Document Type: Research Article

Publication date: 01 January 2019

More about this publication?
  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content