J-substitution algorithm in Magnetic Resonance Electrical Impedance Tomography (MREIT):: Phantom experiments for static resistivity images

被引:95
作者
Khang, HS
Lee, BI
Oh, SH
Woo, EJ
Lee, SY
Cho, MY
Kwon, O
Yoon, JR
Seo, JK
机构
[1] Kyung Hee Univ, Coll Elect & Informat, Yongin 449701, Kyungki, South Korea
[2] Kyung Hee Univ, Grad Sch E W Med Sci, Yongin 449701, Kyungki, South Korea
[3] Yonsei Univ, Dept Math, Seoul 120749, South Korea
关键词
internal current density; J-substitution algorithm; magnetic resonance electrical impedance tomography (MREIT); resistivity image;
D O I
10.1109/TMI.2002.800604
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 x 64. Both of them can be significantly improved by using an MRI system with a better signal-to-noise ratio.
引用
收藏
页码:695 / 702
页数:8
相关论文
共 22 条
[1]   Imaging with electricity: Report of the European Concerted Action on Impedance Tomography [J].
Boone, K ;
Barber, D ;
Brown, B .
JOURNAL OF MEDICAL ENGINEERING & TECHNOLOGY, 1997, 21 (06) :201-232
[2]   High-order total variation-based image restoration [J].
Chan, T ;
Marquina, A ;
Mulet, P .
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2000, 22 (02) :503-516
[3]  
Cheney M, 1990, Int J Imaging Syst Technol, V2, P66, DOI 10.1002/ima.1850020203
[4]   Regularized reconstruction in electrical impedance tomography using a variance uniformization constraint [J].
CohenBacrie, C ;
Goussard, Y ;
Guardo, R .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 1997, 16 (05) :562-571
[5]   An iterative Newton-Raphson method to solve the inverse admittivity problem [J].
Edic, PM ;
Isaacson, D ;
Saulnier, GJ ;
Jain, H ;
Newell, JC .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1998, 45 (07) :899-908
[6]  
EYUBOGLU M, 1998, ELEKTRIK, V6, P201
[7]  
Eyuboglu M., 2001, P 11 INT C EL BIOIMP, P409
[8]   Measurement of electrical current density distribution within the tissues of the head by magnetic resonance imaging [J].
Gamba, HR ;
Delpy, DT .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1998, 36 (02) :165-170
[9]  
HYARIC AL, 2001, IEEE T BIOMED ENG, V48, P230
[10]   INVIVO DETECTION OF APPLIED ELECTRIC CURRENTS BY MAGNETIC-RESONANCE IMAGING [J].
JOY, M ;
SCOTT, G ;
HENKELMAN, M .
MAGNETIC RESONANCE IMAGING, 1989, 7 (01) :89-94