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Impact of Increasing Antenna Model Complexity on Microwave Tomography Using DBIM
Thomas Vasileiou1, Maria Koutsoupidou1, Panagiotis Kosmas2
1Meta Materials Europe, 15123 Marousi, Greece.
Sensors (Basel, Switzerland)
|June 12, 2026
Summary
Sophisticated antenna modeling in microwave tomography (MWT) does not always improve reconstruction accuracy. Practical calibration significantly impacts MWT results more than complex antenna modeling.
Area of Science:
- Electromagnetics
- Medical Imaging
- Computational Science
Background:
- Microwave tomography (MWT) reconstruction accuracy is limited by modeling errors.
- Accurate antenna modeling is crucial for reducing MWT errors, but its impact is understudied.
Purpose of the Study:
- To analyze the benefit of increasing antenna model complexity in MWT.
- To evaluate the influence of antenna modeling on reconstruction accuracy using FDTD and DBIM.
Main Methods:
- Utilized finite-difference time-domain (FDTD) for antenna and forward-problem modeling.
- Employed the distorted Born iterative method (DBIM) for iterative inversion.
- Compared various FDTD models of increasing complexity for different antennas.
Main Results:
- Complex antenna modeling did not consistently enhance reconstruction accuracy for monopole antennas in MWT.
- Model-error analysis indicated that calibration is essential and outweighs detailed antenna modeling.
Conclusions:
- In practical MWT applications, focusing on calibration is more critical than increasing antenna model complexity.
- Calibration's impact on accuracy surpasses that of sophisticated antenna modeling for common MWT antennas.
