ArticleDiagnostics (Basel, Switzerland)2018
Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging.
Article in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Impact of Increasing Antenna Model Complexity on Microwave Tomography Using DBIM.Sensors (Basel, Switzerland) · 2026Article
- Experimental Validation of Microwave Tomographywith the DBIM-TwIST Algorithm for Brain StrokeDetection and Classification.Sensors (Basel, Switzerland) · 2020Article
- Introduction to Special Issue on "Electromagnetic Technologies for Medical Diagnostics: Fundamental Issues, Clinical Applications and Perspectives".Diagnostics (Basel, Switzerland) · 2019Article
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Authors and funding
3 authors.
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Abstract
This paper studies how limited information in data acquired by a wideband microwave tomography (MWT) system can affect the quality of reconstructed images. Limitations can arise from experimental errors, mismatch between the system and its model in the imaging algorithm, or losses in the immersion and coupling medium which are required to moderate this mismatch. We also present a strategy for improving reconstruction performance by discarding data that is dominated by experimental errors. The approach relies on recording transmitted signals in a wide frequency range, and then correlating the data in different frequencies. We apply this method to our wideband MWT prototype, which has been developed in our previous work. Using this system, we present results from simulated and experimental data which demonstrate the practical value of the frequency selection approach. We also propose a
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