Image Reconstruction in Magnetic Resonance Conductivity Tensor Imaging (MRCTI)

DEĞİRMENCİ E., EYÜBOĞLU B. M.

IEEE TRANSACTIONS ON MEDICAL IMAGING, cilt.31, sa.3, ss.525-532, 2012 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 3
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1109/tmi.2011.2171192
  • Dergi Adı: IEEE TRANSACTIONS ON MEDICAL IMAGING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.525-532
  • Anahtar Kelimeler: Anisotropic conductivity, electrical impedance, imaging, magnetic resonance, reconstruction, tensor, tomography, ELECTRICAL-IMPEDANCE TOMOGRAPHY, CURRENT-DENSITY, MR-EIT, MREIT, ALGORITHM, SIMULATION
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.