Combining frequency-difference and ultrasound modulated electrical impedance tomography
arXiv:1810.0439237 citations
AI Analysis
This work addresses the problem of modeling errors in EIT for biomedical imaging, offering a robust detection method.
The authors propose a new inclusion detection technique that combines frequency-difference and ultrasound modulated EIT measurements, achieving complete independence from modeling errors related to electrode positions and domain shape.
Electrical impedance tomography (EIT) is highly affected by modeling errors regarding electrode positions and the shape of the imaging domain. In this work, we propose a new inclusion detection technique that is completely independent of such errors. Our new approach is based on a combination of frequency-difference and ultrasound modulated EIT measurements.