ArticleSensors (Basel, Switzerland)2020
Anomaly Detection Using Electric Impedance Tomography Based on Real and Imaginary Images.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and Validation of a Portable EIT System for Real-Time Respiratory Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Past, present, and future of electrical impedance tomography and myography for medical applications: a scoping review.Frontiers in bioengineering and biotechnology · 2024Article
- Image Reconstruction Using Supervised Learning in Wearable Electrical Impedance Tomography of the Thorax.Sensors (Basel, Switzerland) · 2023Article
- An In Situ Electrical Impedance Tomography Sensor System for Biomass Estimation of Tap Roots.Plants (Basel, Switzerland) · 2022Article
- Characterization and Monitoring of Titanium Bone Implants with Impedance Spectroscopy.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research offers a method for separating the components of tissue impedance, namely resistance and capacitive reactance. Two objects that have similar impedance or low contrast can be improved through separating the real and imaginary images. This method requires an Electrical Impedance Tomography (EIT) device. EIT can obtain potential data and the phase angle between the current and the potential measured. In the future, the device is very suitable for imaging organs in the thorax and abdomen that have the same impedance but different resistance and capacitive reactance. This device consists of programmable generators, Voltage Controlled Current Source (VCCS), mulptiplexer-demultiplexer potential meters, and phase meters. Data collecting was done by employing neighboring, while reconstruction was used the linear back-projection method from two different data frequencies, namely 10 kHz and 100 kHz. Phantom used in this experiment consists of distillated water and a carrot as an anomaly. Potential and phase data from the device is reconstructed to produce impedance, real, and imaginary images. Image analysis is performed by comparing the three images to the phantom. The experimental results show that the device is reliable.
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Registered trials
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