J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): Phantom experiments for static resistivity images

Hyun Soo Khang, Byung Il Lee, Suk Hoon Oh, Eung Je Woo, Soo Yeol Lee, Min Hyoung Cho, Ohin Kwon, Jeong Rock Yoon, Jin Keun Seo

Research output: Contribution to journalArticle

98 Citations (Scopus)

Abstract

Recently, a new static resistivity image reconstruction algorithm is proposed utilizing internal current density data obtained by magnetic resonance current density imaging technique. This new imaging method is called magnetic resonance electrical impedance tomography (MREIT). The derivation and performance of J-substitution algorithm in MREIT have been reported as a new accurate and high-resolution static impedance imaging technique via computer simulation methods. In this paper, we present experimental procedures, denoising techniques, and image reconstructions using a 0.3-tesla (T) experimental MREIT system and saline phantoms. MREIT using J-substitution algorithm effectively utilizes the internal current density information resolving the problem inherent in a conventional EIT, that is, the low sensitivity of boundary measurements to any changes of internal tissue resistivity values. Resistivity images of saline phantoms show an accuracy of 6.8%-47.2% and spatial resolution of 64 × 64. Both of them can be significantly improved by using an MRI system with a better signal-to-noise ratio.

Original languageEnglish
Pages (from-to)695-702
Number of pages8
JournalIEEE Transactions on Medical Imaging
Volume21
Issue number6
DOIs
Publication statusPublished - 2002 Jun

All Science Journal Classification (ASJC) codes

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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