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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Eung Je Woo |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Biomedical Engineering, Kyung Hee University, Gyeonggi-do 446-701 Korea (Eung Je Woo) |
| Abstract | Magnetic Resonance Electrical Impedance Tomography (MREIT) produces cross-sectional images of a conductivity distribution inside the human body. We use an MRI scanner as a tool to measure induced internal magnetic flux density distributions subject to externally injected currents. Recent experimental MREIT studies demonstrated conductivity image reconstructions of in vivo animal and human subjects with a few millimeter pixel size using 3 mA current injections. To enhance the clinical applicability of MREIT especially in neuroimaging applications, it is necessary to develop high-resolution MREIT techniques using low imaging currents. In this study, we demonstrate the capability of MREIT to perform conductivity imaging with less than 1 mA injection currents. The experimental results using a 3 T MRI scanner with a multi-echo ICNE pulse sequence and high-performance RF coils demonstrate that we can distinguish two different anomalies in reconstructed conductivity images with less than 1 mm pixel sizes. We plan to apply the developed experimental method to in vivo head imaging of small animals to investigate the feasibility of functional MREIT as a new neuro-imaging method. |
| Starting Page | 7025 |
| Ending Page | 7028 |
| File Size | 479020 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091776 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Conductivity Image reconstruction Breast Phantoms Magnetic flux density Electrodes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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