Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI)

DEĞİRMENCİ E., EYÜBOĞLU B. M.

IEEE TRANSACTIONS ON MEDICAL IMAGING, vol.31, no.3, pp.525-532, 2012 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 3
  • Publication Date: 2012
  • Doi Number: 10.1109/tmi.2011.2171192
  • Journal Name: IEEE TRANSACTIONS ON MEDICAL IMAGING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.525-532
  • Keywords: Anisotropic conductivity, electrical impedance, imaging, magnetic resonance, reconstruction, tensor, tomography, ELECTRICAL-IMPEDANCE TOMOGRAPHY, CURRENT-DENSITY, MR-EIT, MREIT, ALGORITHM, SIMULATION
  • Middle East Technical University Affiliated: Yes

Abstract

Almost all magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms proposed to date assume isotropic conductivity in order to simplify the image reconstruction. However, it is well known that most of biological tissues have anisotropic conductivity values. In this study, four novel anisotropic conductivity reconstruction algorithms are proposed to reconstruct high resolution conductivity tensor images. Performances of these four algorithms and a previously proposed algorithm are evaluated in several aspects and compared.