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Byung Il Lee
Researcher at Kyung Hee University
Publications - 33
Citations - 1239
Byung Il Lee is an academic researcher from Kyung Hee University. The author has contributed to research in topics: Imaging phantom & Current density. The author has an hindex of 18, co-authored 33 publications receiving 1178 citations.
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Journal ArticleDOI
Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography
TL;DR: Reconstructed conductivity and current density images from computer simulations and phantom experiments using four recessed electrodes injecting six different currents of 26 mA suggest that in vitro and in vivo experimental studies with animal subjects are feasible.
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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 +8 more
TL;DR: Experimental procedures, denoising techniques and image reconstructions using a 0.3-tesla MREIT system and saline phantoms are presented and J-substitution algorithm effectively utilizes the internal current density information resolving the problem inherent in a conventional EIT.
Journal ArticleDOI
Noise analysis in magnetic resonance electrical impedance tomography at 3 and 11 T field strengths.
Rosalind J. Sadleir,Samuel C. Grant,Sung-Uk Zhang,Byung Il Lee,Hyun Chan Pyo,Suk Hoon Oh,Chunjae Park,Eung Je Woo,Eung Je Woo,Soo Yeol Lee,Ohin Kwon,Jin Keun Seo +11 more
TL;DR: Noise level reductions can be achieved by optimizing MREIT pulse sequences and using signal averaging, and two different methods to estimate magnetic flux noise levels are suggested.
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Electrical conductivity images of biological tissue phantoms in MREIT
TL;DR: The feasibility of the MREIT technique in producing conductivity images of different biological soft tissues with a high spatial resolution and accuracy when the authors use a sufficient amount of the injection current is experimentally demonstrated.
Journal ArticleDOI
Three-dimensional forward solver and its performance analysis for magnetic resonance electrical impedance tomography (MREIT) using recessed electrodes
Byung Il Lee,Suk Hoon Oh,Eung Je Woo,Soo Yeol Lee,Min Hyoung Cho,Ohin Kwon,Jin Keun Seo,June Yub Lee,Woon Sik Baek +8 more
TL;DR: The forward solver described in this paper computes voltage and current density distributions using the finite element method (FEM) and calculates the magnetic flux density within the subject using the Biot-Savart law and FEM.