System for EIT reconstruction based on Machine Learning techniques

Resumen:

Electrical Impedance Tomography (EIT) is a non-invasive technique that can be used to obtain information from inside bodies. To reconstruct internal body images using EIT, it is necessary to solve a mathematical ill-posed problem called inverse problem. We have developed a software called SageTomo that is able to reconstruct EIT images using Machine Learning techniques to solve the inverse problem. Furthermore, SageTomo allows users both to train and store Machine Learning models for EIT reconstruction, as well as to generate and store datasets for training these models.

Palabras Clave:

eit - Electrical Impedance Tomography - Machine Learning

Autor(es):

• Martín Aller Domínguez {martin.aller@rai.usc.es}
  CiTIUS, Universidade de Santiago de Compostela - Spain
  
• David Mera Pérez {david.mera@usc.es}
  CiTIUS, Universidade de Santiago de Compostela - Spain
  
• José Manuel Cotos Yáñez {manel.cotos@usc.es}
  CiTIUS, Universidade de Santiago de Compostela - Spain
  
• Ledicia Díaz Lago {ledicia.diaz.lago@usc.es}
  CiTIUS, Universidade de Santiago de Compostela - Spain
  

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