Electrical Impedance Tomography for head-brain imaging based on iteratively reweighted least squares (IRLS) algorithm.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Abstract:
      Electrical Impedance Tomography (EIT) is a non-invasive measurement technique to obtain reconstructed images based on impedance properties. The use of EIT in the medical field has been widely applied including in the detection of brain abnormalities. In this study, EIT was developed for head-brain imaging in which particularly to detect abnormalities in the brain and it was simulated with Electrical Impedance Tomography and Diffuse Optical Tomography Reconstruction Software (EIDORS). There are three processes carried out in the reconstruction of the head-brain image. These processes are namely determining the Finite Element Method (FEM) model and creating strange objects or anomaly inclusion, applying the IRLS algorithm to obtain an inversion solution, and segmenting the anomaly inclusion with k-means clustering. The results of EIT image reconstruction and evaluation with Structural Similarity Indices (SSIM) and Image Correlation Coefficient (ICC) show that the proposed method is able to obtain head-brain images with promising results. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)