Abstract
Magnetic resonance electrical impedance tomography (MREIT) is a new bio-imaging modality providing cross-sectional conductivity images from measurements of internal magnetic flux densities produced by externally injected currents. Recent experimental results of postmortem and in vivo imaging of the canine brain demonstrated its feasibility by showing conductivity images with meaningful contrast among different brain tissues. MREIT image reconstructions involve a series of data processing steps such as k-space data handling, phase unwrapping, image segmentation, meshing, modelling, finite element computation, denoising and so on. To facilitate experimental studies, we need a software tool that automates these data processing steps. In this paper, we summarize such an MREIT software package called CoReHA (conductivity reconstructor using harmonic algorithms). Performing imaging experiments of the postmortem canine abdomen, we demonstrate how CoReHA can be utilized in MREIT. The abdomen with a relatively large field of view and various organs imposes new technical challenges when it is chosen as an imaging domain. Summarizing a few improvements in the experimental MREIT technique, we report our first conductivity images of the postmortem canine abdomen. Illustrating reconstructed conductivity images, we discuss how they discern different organs including the kidney, spleen, stomach and small intestine. We elaborate, as an example, that conductivity images of the kidney show clear contrast among cortex, internal medulla, renal pelvis and urethra. We end this paper with a brief discussion on future work using different animal models.
| Original language | English |
|---|---|
| Pages (from-to) | 957-966 |
| Number of pages | 10 |
| Journal | Physiological Measurement |
| Volume | 30 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2009 Nov 4 |
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All Science Journal Classification (ASJC) codes
- Biophysics
- Physiology
- Biomedical Engineering
- Physiology (medical)
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MREIT conductivity imaging of the postmortem canine abdomen using CoReHA. / Jeon, Kiwan; Minhas, Atul S.; Kim, Young Tae; Jeong, Woo Chul; Kim, Hyung Joong; Kang, Byeong Teck; Park, Hee Myung; Lee, Chang Ock; Seo, Jin Keun; Woo, Eung Je.
In: Physiological Measurement, Vol. 30, No. 9, 04.11.2009, p. 957-966.Research output: Contribution to journal › Article
TY - JOUR
T1 - MREIT conductivity imaging of the postmortem canine abdomen using CoReHA
AU - Jeon, Kiwan
AU - Minhas, Atul S.
AU - Kim, Young Tae
AU - Jeong, Woo Chul
AU - Kim, Hyung Joong
AU - Kang, Byeong Teck
AU - Park, Hee Myung
AU - Lee, Chang Ock
AU - Seo, Jin Keun
AU - Woo, Eung Je
PY - 2009/11/4
Y1 - 2009/11/4
N2 - Magnetic resonance electrical impedance tomography (MREIT) is a new bio-imaging modality providing cross-sectional conductivity images from measurements of internal magnetic flux densities produced by externally injected currents. Recent experimental results of postmortem and in vivo imaging of the canine brain demonstrated its feasibility by showing conductivity images with meaningful contrast among different brain tissues. MREIT image reconstructions involve a series of data processing steps such as k-space data handling, phase unwrapping, image segmentation, meshing, modelling, finite element computation, denoising and so on. To facilitate experimental studies, we need a software tool that automates these data processing steps. In this paper, we summarize such an MREIT software package called CoReHA (conductivity reconstructor using harmonic algorithms). Performing imaging experiments of the postmortem canine abdomen, we demonstrate how CoReHA can be utilized in MREIT. The abdomen with a relatively large field of view and various organs imposes new technical challenges when it is chosen as an imaging domain. Summarizing a few improvements in the experimental MREIT technique, we report our first conductivity images of the postmortem canine abdomen. Illustrating reconstructed conductivity images, we discuss how they discern different organs including the kidney, spleen, stomach and small intestine. We elaborate, as an example, that conductivity images of the kidney show clear contrast among cortex, internal medulla, renal pelvis and urethra. We end this paper with a brief discussion on future work using different animal models.
AB - Magnetic resonance electrical impedance tomography (MREIT) is a new bio-imaging modality providing cross-sectional conductivity images from measurements of internal magnetic flux densities produced by externally injected currents. Recent experimental results of postmortem and in vivo imaging of the canine brain demonstrated its feasibility by showing conductivity images with meaningful contrast among different brain tissues. MREIT image reconstructions involve a series of data processing steps such as k-space data handling, phase unwrapping, image segmentation, meshing, modelling, finite element computation, denoising and so on. To facilitate experimental studies, we need a software tool that automates these data processing steps. In this paper, we summarize such an MREIT software package called CoReHA (conductivity reconstructor using harmonic algorithms). Performing imaging experiments of the postmortem canine abdomen, we demonstrate how CoReHA can be utilized in MREIT. The abdomen with a relatively large field of view and various organs imposes new technical challenges when it is chosen as an imaging domain. Summarizing a few improvements in the experimental MREIT technique, we report our first conductivity images of the postmortem canine abdomen. Illustrating reconstructed conductivity images, we discuss how they discern different organs including the kidney, spleen, stomach and small intestine. We elaborate, as an example, that conductivity images of the kidney show clear contrast among cortex, internal medulla, renal pelvis and urethra. We end this paper with a brief discussion on future work using different animal models.
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U2 - 10.1088/0967-3334/30/9/007
DO - 10.1088/0967-3334/30/9/007
M3 - Article
C2 - 19661564
AN - SCOPUS:70350448178
VL - 30
SP - 957
EP - 966
JO - Physiological Measurement
JF - Physiological Measurement
SN - 0967-3334
IS - 9
ER -