Algebraic reconstraction for 3D magnetic resonance-electrical impedance tomography (MREIT) using one component of magnetic flux density
dc.citation.epage | 294 | en_US |
dc.citation.issueNumber | 1 | en_US |
dc.citation.spage | 281 | en_US |
dc.citation.volumeNumber | 25 | en_US |
dc.contributor.author | Ider, Y. Z. | en_US |
dc.contributor.author | Onart, S. | en_US |
dc.date.accessioned | 2016-02-08T11:54:14Z | |
dc.date.available | 2016-02-08T11:54:14Z | |
dc.date.issued | 2004 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | Magnetic resonance-electrical impedance tomography (MREIT) algorithms fall into two categories: those utilizing internal current density and those utilizing only one component of measured magnetic flux density. The latter group of algorithms have the advantage that the object does not have to be rotated in the magnetic resonance imaging (MRI) system. A new algorithm which uses only one component of measured magnetic flux density is developed. In this method, the imaging problem is formulated as the solution of a non-linear matrix equation which is solved iteratively to reconstruct resistivity. Numerical simulations are performed to test the algorithm both for noise-free and noisy cases. The uniqueness of the solution is monitored by looking at the singular value behavior of the matrix and it is shown that at least two current injection profiles are necessary. The method is also modified to handle region-of-interest reconstructions. In particular it is shown that, if the image of a certain xy-slice is sought for, then it suffices to measure the z-component of magnetic flux density up to a distance above and below that slice. The method is robust and has good convergence behavior for the simulation phantoms used. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:54:14Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2004 | en |
dc.identifier.doi | 10.1088/0967-3334/25/1/032 | en_US |
dc.identifier.issn | 0967-3334 | |
dc.identifier.uri | http://hdl.handle.net/11693/27466 | |
dc.language.iso | English | en_US |
dc.publisher | Institute of Physics and Engineering in Medicine | en_US |
dc.relation.isversionof | https://doi.org/10.1088/0967-3334/25/1/032 | en_US |
dc.source.title | Physiological Measurement | en_US |
dc.subject | Bz based algorithm | en_US |
dc.subject | EIT | en_US |
dc.subject | Finite element method | en_US |
dc.subject | Magnetic resonance-electrical impedance tomography | en_US |
dc.subject | MREIT | en_US |
dc.subject | Algorithm | en_US |
dc.subject | Computer assisted impedance tomography | en_US |
dc.subject | Computer simulation | en_US |
dc.subject | Electric current | en_US |
dc.subject | Finite element analysis | en_US |
dc.subject | Image reconstruction | en_US |
dc.subject | Imaging system | en_US |
dc.subject | Magnetic field | en_US |
dc.subject | Mathematical analysis | en_US |
dc.subject | Nuclear magnetic resonance imaging | en_US |
dc.subject | Phantom | en_US |
dc.subject | Priority journal | en_US |
dc.subject | Signal noise ratio | en_US |
dc.subject | Three dimensional imaging | en_US |
dc.subject | Three dimensional magnetic resonance electrical impedance tomography | en_US |
dc.subject | Impedance | en_US |
dc.subject | Instrumentation | en_US |
dc.subject | Methodology | en_US |
dc.subject | Theoretical model | en_US |
dc.subject | Tomography | en_US |
dc.subject | Electric Impedance | en_US |
dc.subject | Magnetics | en_US |
dc.subject | Models | en_US |
dc.subject | Radiation | en_US |
dc.subject | Theoretical | en_US |
dc.title | Algebraic reconstraction for 3D magnetic resonance-electrical impedance tomography (MREIT) using one component of magnetic flux density | en_US |
dc.type | Article | en_US |
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