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Soo Yeol Lee

Researcher at Kyung Hee University

Publications -  166
Citations -  3694

Soo Yeol Lee is an academic researcher from Kyung Hee University. The author has contributed to research in topics: Imaging phantom & Iterative reconstruction. The author has an hindex of 31, co-authored 164 publications receiving 3356 citations. Previous affiliations of Soo Yeol Lee include University of California, Irvine.

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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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Mesenchymal stem cells promote proliferation of endogenous neural stem cells and survival of newborn cells in a rat stroke model.

TL;DR: Transplantation of MSCs enhanced proliferation of endogenous neural stem cells while suppressing the cell death of newly generated cells, and newborn cells migrated toward ischemic territory and differentiated in isChemic boundaries into doublecortin+ neuroblasts at higher rates in animals with M SCs compared to control group.
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A flat-panel detector based micro-CT system: performance evaluation for small-animal imaging

TL;DR: A dedicated small-animal x-ray micro computed tomography system has been developed to screen laboratory small animals such as mice and rats and it has been found that the image non-uniformity mainly comes from the structural non- uniform sensitivity pattern of the flat-panel detector.
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J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): phantom experiments for static resistivity images

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.
Proceedings ArticleDOI

Impedance tomography using internal current density distribution measured by nuclear magnetic resonance

TL;DR: In this article, a new method using internal current density data measured by NMR imaging technique was proposed to improve the accuracy of the impedance image reconstruction in electrical impedance tomography (EIT).