Name: Eung Je Woo

Email: ejwoo@khu.ac.kr

CompanyName: Kyung Hee University

Country: S. Korea

Abstract: Static Resistivity Images from Phantoms in Magnetic Resonance Electrical Impedance Tomography (MREIT)

Suk Hoon Oh1, Byung Il Lee2, Eung Je Woo2, Soo Yeol Lee1, Min Hyoung Cho1,Ohin Kwon3, Jeong-Rock Yoon4, and Jin Keun Seo5

1Graduate School of East-West Medical Sciences, Kyung Hee University, Korea
2College of Electronics and Information, Kyung Hee University, Korea
3Department of Mathematics, Konkuk University, Korea
4School of Mathematics, Korea Institute for Advanced Study, Korea
5Department of Mathematics, Yonsei University, Korea

Lately, a new static resistivity image reconstruction algorithm is proposed
utilizing internal current density data obtained by Magnetic Resonance Current
Density Imaging (MRCDI) technique. This new imaging method is called Magnetic
Resonance Electrical Impedance Tomography (MREIT). In this paper, we present
experimental procedures, denoising techniques, and image reconstructions using
a 0.3 Tesla experimental MREIT system and saline phantoms. MREIT effectively
utilizes the internal current density information resolving the problem inherent
in a conventional Electrical Impedance Tomography (EIT), that is, the low
sensitivity of boundary measurements to any changes of internal tissue resistivity
values. Resistivity images of saline phantoms show that MREIT is a new static
resistivity imaging method with a higher spatial resolution and better accuracy.
Resistivity images from MREIT may also be used as initial resistivity distributions
in dynamic EIT imaging for its better monitoring performance.

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