Electrical impedance tomography (EIT) is a medical imaging technique that uses surface electrodes to apply currents and measure voltages to reconstruct images showing the internal conductivity distribution. EIT has applications in imaging physiological processes involving fluid movement in organs like lungs, heart, and brain. It has advantages of being non-invasive, portable, and low-cost compared to other modalities like CT. However, EIT also has disadvantages like lower resolution and the complex inverse problem of reconstructing 3D conductivity based on 2D electrode measurements.

1. Electrical Impedance
Tomography
and
Applications

2. Outline
• Electrical Impedance Tomography
• Physics
• Applications
•Advantages
• Disadvantages

3. Electrical Impedance Tomography
• Relatively new medical imaging
Technique.
• Body Surface Electrodes apply current
patterns and measure the resulting
voltages
• Distribution of conductivity is calculated

4. EIT: Block Diagram

5. EIT: Physics

7. Figure 2: Electrode configuration around the
Thorax: Small alternating currents are being
applied through drive electrodes (red), the
resulting equal potentials being recorded by
the remaining (green) electrodes.

8. Figure 1: A cross section of a human thorax
from an X-ray CT showing current stream lines
and equi potentials from drive electrodes.
Note how lines are bent by the change in
conductivity between different organs.

9. In this prototype, the electrodes are attached
around a grapefruit which represents a child's
head. Liquid is injected into the grapefruit to
mimic brain haemorrhage.

10. •After positioning surface electrodes through adhesive electrodes, an
electrode belt or a conductive electrode vest around the body part of
interest, alternating currents of typically a few milli-Amperes at a
frequency of 10–100 kHz will be applied across two or more drive
electrodes.
The remaining electrodes will be used to measure the resulting voltage.
•The procedure will then be repeated for numerous "stimulation
patterns",
•E.x. successive pairs of adjacent electrodes until an entire circle has
been completed and image reconstruction can be carried out and
displayed by a digital workstation that incorporates complex
mathematical algorithms and a priori data
THEORY

11. Applications

12. Applications
• EIT can image physiological processes
• involving movement of conductive fluids
• and gasses
• Lungs
• Heart
• Brain
• Chest

13. Lung (a-EIT, f-EIT)
• EIT is particularly useful for monitoring lung
function because lung tissue resistivity is five
times higher when compared to most other soft
tissues within the thorax.
• This results in high absolute contrast of the lungs
in general. In addition, lung resistivity increases
and decreases several-fold between inspiration
and expiration
• which explains why monitoring the respiratory
cycle is currently the most promising clinical
application of functional EIT.

14. Resulting image (earlier
attempt)
Adhesive electrodes on chest

15. Brain (a-EIT, f-EIT, MF-EIT)
• EIT has been suggested as a basis for brain
imaging to enable the detection and
• Monitoring of cerebral
ischemia, haemorrhage,
• Other morphological pathologies associated
with impedance changes due to neuronal cell
swelling

16. ADVANTAGES
• EIT is a relatively low resolution imaging
• modality, but
• • Non-invasive
• • Non-cumbersome
• • Suitable for monitoring
• • Underlying technology is low cost

17. Disadvantages
• Absolute EIT approaches are targeted at
digital reconstruction of static images, i.e.
two-dimensional representations of the
anatomy within the body part of interest. As
mentioned above and unlike linear x-rays
in Computed Tomography, electrical currents
travel three-dimensionally along the path of
least resistivity, which results in partial loss of
the electrical current applied

18. Disadvantages
• This is one of the reasons why image reconstruction in
absolute EIT is so complex, since there is usually more
than just one solution for image reconstruction of a
three-dimensional area projected onto a two-
dimensional plane.
• Another difficulty is that given the number of
electrodes and the measurement precision at each
electrode, only objects bigger than a given size can be
distinguished. This explains the necessity of highly
sophisticated mathematical algorithms that will
account for the inverse problem and its ill-posedness.

19. Thank You