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Performance Evaluation of Novel Microwave Imaging Algorithms for Stroke Detection using an Accurate 3D Head Model

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Abstract

This paper addresses the feasibility of transportable stroke detection devices based on Ultra-Wideband radar imaging. Advanced artefact removal and processing algorithms have been recently proposed for the specific application of stroke detection. However, their performance have been assessed using a simplified head model. This paper assess the performance of these algorithms using a more accurate 3D head model. Comparisons with other state-of-the-art algorithms confirm the effectiveness of these novel algorithms both in terms of accuracy of stroke localization and amount of artefacts not completely removed.

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Authors and Affiliations

  1. Department of Electronic Engineering, University of Rome “Tor Vergata”, Rome, Italy

    Elisa Ricci, Ernestina Cianca & Tommaso Rossi

  2. Neuroscience Department, Policlinic of “Tor Vergata”, Rome, Italy

    Marina Diomedi

  3. Department of Electronics and Tele Communication, Vishwaniketan’s Institute of Management Entreprenuership & Engineering Technology, Mumbai University (iMEET), Khalapur, Maharashtra, India

    Parth Deshpande

Authors
  1. Elisa Ricci
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  2. Ernestina Cianca
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  3. Tommaso Rossi
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  4. Marina Diomedi
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  5. Parth Deshpande
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Correspondence to Ernestina Cianca.

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Ricci, E., Cianca, E., Rossi, T. et al. Performance Evaluation of Novel Microwave Imaging Algorithms for Stroke Detection using an Accurate 3D Head Model. Wireless Pers Commun 96, 3317–3331 (2017). https://doi.org/10.1007/s11277-017-4122-6

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  • DOI: https://doi.org/10.1007/s11277-017-4122-6

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