Numerical Simulations of MREIT Conductivity Imaging for Brain Tumor Detection
Joint Authors
Sajib, Saurav Z. K.
Je Woo, Eung
Sadleir, Rosalind J.
Kwon, Oh In
Kim, Hyung Joong
Meng, Zi Jun
Chauhan, Munish
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Magnetic resonance electrical impedance tomography (MREIT) is a new modality capable of imaging the electrical properties of human body using MRI phase information in conjunction with external current injection.
Recent in vivo animal and human MREIT studies have revealed unique conductivity contrasts related to different physiological and pathological conditions of tissues or organs.
When performing in vivo brain imaging, small imaging currents must be injected so as not to stimulate peripheral nerves in the skin, while delivery of imaging currents to the brain is relatively small due to the skull’s low conductivity.
As a result, injected imaging currents may induce small phase signals and the overall low phase SNR in brain tissues.
In this study, we present numerical simulation results of the use of head MREIT for brain tumor detection.
We used a realistic three-dimensional head model to compute signal levels produced as a consequence of a predicted doubling of conductivity occurring within simulated tumorous brain tissues.
We determined the feasibility of measuring these changes in a time acceptable to human subjects by adding realistic noise levels measured from a candidate 3 T system.
We also reconstructed conductivity contrast images, showing that such conductivity differences can be both detected and imaged.
American Psychological Association (APA)
Meng, Zi Jun& Sajib, Saurav Z. K.& Chauhan, Munish& Sadleir, Rosalind J.& Kim, Hyung Joong& Kwon, Oh In…[et al.]. 2013. Numerical Simulations of MREIT Conductivity Imaging for Brain Tumor Detection. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-491949
Modern Language Association (MLA)
Meng, Zi Jun…[et al.]. Numerical Simulations of MREIT Conductivity Imaging for Brain Tumor Detection. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-491949
American Medical Association (AMA)
Meng, Zi Jun& Sajib, Saurav Z. K.& Chauhan, Munish& Sadleir, Rosalind J.& Kim, Hyung Joong& Kwon, Oh In…[et al.]. Numerical Simulations of MREIT Conductivity Imaging for Brain Tumor Detection. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-491949
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491949