Soft computing approaches for the resolution of electromagnetic inverse problems

  • Authors:

  • Marco Cioffi;Vincenzo Cutrupi;Fabrizio Ferraioli;Alessandro Formisano;Raffaele Martone

  • Affiliations:

  • Consorzio C.R.I.S., Naples, Italy;Dip. di Ingegneria dell'Informazione, Seconda Università di Napoli, Aversa, CE, Italy;Ansaldo Ricerche, Naples, Italy;Dip. di Ingegneria dell'Informazione, Seconda Università di Napoli, Aversa, CE, Italy;Dip. di Ingegneria dell'Informazione, Seconda Università di Napoli, Aversa, CE, Italy

  • Venue:
  • KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
  • Year:
  • 2007

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Abstract

The resolution of Inverse Problems, especially those resulting in the Medical Diagnostics, is usually difficult because of the inherent noise and inaccuracies present in the data used for the reconstruction. A typical example is given by the Electrical Impedance Imaging, used for the long-term monitoring of "anomalies" present in patients' bodies. The adoption of soft computing schemes, thanks to their intrinsic capability of dealing with data affected by inaccuracies, reveals effective in this field. As an example, the use of Artificial Neural Networks is proposed here to reconstruct the evolution of a liver tumor treated with thermal ablation.