| Abstrak/Abstract |
The phantom model imaging system enables real-
time data processing and visualization through Electrical
Impedance Tomography (EIT). In gastric impedance
tomography, a 16 of electrodes placed around the phantom
measure electrical impedance, thereby monitoring the
distribution and motility of gastric contents. Image
reconstruction aims to obtain an optimal range of image values
to ensure superior image quality. The process involves
reconstructing the mesh area for analysis and determining
computational speed in image reconstruction, with a mesh value
of ????, ???? ???? ????????!???? ???????????????????????? chosen as the basis for determining the
resolution level in the hyperparameters lambVal (Λ) and pVal
(ρ). The hyperparameter ρ is utilized to find the optimal value
for the EIT image shape that approximates the boundary
ground truth with the smallest pixel error, while Λ is optimized
for detail and accuracy of the image scale factor. The diagnostic
system's performance was evaluated in terms of accuracy,
response time, and measurement reliability, using a stable
testing frequency of 50,000. A frequency of 50,000 was selected
due to the decrease and stabilization of the relative permittivity
value, leading to an error of 0.36555. Validation of image
reconstruction results is conducted using both qualitative and
quantitative methods. The qualitative approach involves
comparing the real image boundary with its convergence range,
producing a convergence area within the ρ range of 0.36 to 0.48
and the Λ range of 0.63 to 0.84. The quantitative approach
employs statistical techniques and numerical measurements for
more objective validation which yields a convergence area with
a ρ of 0.45 and a Λ of 0.7 at a frequency of 50,000 Hz.
Additionally, real-time processing enhances the system's
capability to monitor and adapt to rapid changes in the gastric
environment, further improving diagnostic accuracy and the
effectiveness of the imaging system |
