DocumentCode
795395
Title
J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): phantom experiments for static resistivity images
Author
Khang, Hyun Soo ; Lee, Byung Il ; Oh, Suk Hoon ; Woo, Eung Je ; Lee, Soo Yeol ; Cho, Min Hyoung ; Kwon, Ohin ; Yoon, Jeong Rock ; Seo, Jin Keun
Author_Institution
Graduate Sch. of East-West Med. Sci., Kyung Hee Univ., Kyungki, South Korea
Volume
21
Issue
6
fYear
2002
fDate
6/1/2002 12:00:00 AM
Firstpage
695
Lastpage
702
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.
Keywords
biomedical MRI; current density; digital simulation; electric impedance imaging; electrical resistivity; image reconstruction; image resolution; medical image processing; 0.3 T; J-substitution algorithm; computer simulation methods; denoising techniques; internal current density data; internal tissue resistivity values; magnetic resonance electrical impedance tomography; medical diagnostic imaging; phantom experiments; saline phantoms; signal-to-noise ratio; static resistivity images; Conductivity; Current density; High-resolution imaging; Image reconstruction; Imaging phantoms; Impedance; Magnetic resonance; Magnetic resonance imaging; Spatial resolution; Tomography; Algorithms; Electric Impedance; Image Enhancement; Magnetic Resonance Imaging; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Tomography;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2002.800604
Filename
1021937
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