CoReHA 2.0: A Software Package for<i>In Vivo</i>MREIT Experiments

Jeon, Kiwan; Lee, Chang Ock

doi:10.1155/2013/941745

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…We confirmed the quality of reconstructed B z ,1 and B z ,2 images by also performing conductivity reconstruction using the harmonic B z algorithm (Seo et al 2003) via CoReHA 2.0 software(Jeon and Woo 2013). Figure 5 shows the reconstruction results and profile.…”

Section: Resultsmentioning

confidence: 63%

Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT

et al. 2018

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We sought to improve efficiency of magnetic resonance electrical impedance tomography data acquisition so that fast conductivity changes or electric field variations could be monitored. Undersampling of k-space was used to decrease acquisition times in spin-echo-based sequences by a factor of two. Full MREIT data were reconstructed using continuity assumptions and preliminary scans gathered without current. We found that phase data were reconstructed faithfully from undersampled data. Conductivity reconstructions of phantom data were also possible. Therefore, undersampled k-space methods can potentially be used to accelerate MREIT acquisition. This method could be an advantage in imaging real-time conductivity changes with MREIT.

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Section: Resultsmentioning

confidence: 63%

Accelerating acquisition strategies for low-frequency conductivity imaging using MREIT

et al. 2018

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“…CoReHA 2.0 software , a single‐step implementation of the harmonic

B_{z}

algorithm , was used to reconstruct relative conductivity distributions. The harmonic

B_{z}

algorithm estimates the conductivity distribution

σ

in a given slice by incorporating the harmonic relationship between the 2D

\nabla σ

and the Laplacian of

B_{z}

.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, harmonic in‐painting of phase data was implemented to replace the data in this area. A ramp‐preserving denoising preprocessing step was also applied to the data to improve the overall SNR. As implemented in CoReHA, the harmonic

B_{z}

algorithm is capable of producing only equivalent isotropic‐scaled conductivity images.…”

Section: Methodsmentioning

confidence: 99%

Multishot echo‐planar MREIT for fast imaging of conductivity, current density, and electric field distributions

Chauhan

Shankar

Kumar

et al. 2017

Magnetic Resonance in Med

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Purpose: Magnetic resonance electrical impedance tomography (MREIT) sequences typically use conventional spin or gradient echo-based acquisition methods for reconstruction of conductivity and current density maps. Use of MREIT in functional and electroporation studies requires higher temporal resolution and faster sequences. Here, single and multishot echo planar imaging (EPI) based MREIT sequences were evaluated to see whether high-quality MREIT phase data could be obtained for rapid reconstruction of current density, conductivity, and electric fields. Methods: A gel phantom with an insulating inclusion was used as a test object. Ghost artifact, geometric distortion, and MREIT correction algorithms were applied to the data. The EPI-MREIT-derived phase-projected current density and conductivity images were compared with simulations and spinecho images as a function of EPI shot number. Results: Good agreement among measures in simulated, spin echo, and EPI data was achieved. Current density errors were stable and below 9% as the shot number decreased from 64 to 2, but increased for single-shot images. Conductivity reconstruction relative contrast ratios were stable as the shot number decreased. The derived electric fields also agreed with the simulated data. Conclusions: The EPI methods can be combined successfully with MREIT reconstruction algorithms to achieve fast imaging of current density, conductivity, and electric field. Magn Reson Med 79:71-82,

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“…Hence CT, PET, SPECT procedures have some disadvantages. Recently, EIT, magnetic resonance electrical impedance tomography (MREIT) [116,126,127,151,167,183,214], magnetic resonance electrical property tomography (MREPT) [222,223,224], Quantitative Susceptibility Mapping (QSM) [141,145,211,212] have been studied for brain imaging.…”

Section: Present Scenario and The Future Trendsmentioning

confidence: 99%