Transceive Phase Corrected Contrast Source Inversion-Electrical Properties Tomography Article Swipe
Peter R. S. Stijnman
,
Stefano Mandija
,
Patrick Fuchs
,
Cornelis A. T. van den Berg
,
Rob Remis
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1907.13451
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1907.13451
Magnetic resonance imaging (MRI) based electrical properties tomography (EPT) is the quantification of the conductivity and permittivity of different tissues. These electrical properties can be obtained through different reconstruction methods and can be used as a contrast mechanism. The work presented here continues from the two-dimensional CSI-EPT algorithm which was shown to work with two-dimensional Matlab based simulations. The existing CSI-EPT algorithm is reformulated to use the transceive phase rather than relying on the transceive phase assumption. This is achieved by implementing a forward problem, computing the receive phase, into the inverse minimization problem, i.e. retrieving the electrical properties. Furthermore, the radio frequency (RF) shield is numerically implemented to model the RF fields inside the MRI more accurately. Afterwards, the algorithm is tested with three-dimensional FDTD simulations to investigate if the two-dimensional CSI-EPT can retrieve the electrical properties for three-dimensional RF fields. Finally, an MR experiment with a phantom is performed to show the potential for this method. From the results of the two-dimensional Matlab simulations it is seen that CSI-EPT can reconstruct the electrical properties using MRI accessible quantities. In the three-dimensional simulations it is observed that the electrical properties are underestimated, nonetheless, CSI-EPT is more precise than the standard Helmholtz based methods. Finally, the first CSI-EPT results using measured data are shown. The results for the reconstruction using measured data were of the same quality as the results from the FDTD simulation.
Related Topics
Concepts
Imaging phantom
Computer science
Finite-difference time-domain method
MATLAB
Algorithm
Helmholtz free energy
Inverse problem
Phase (matter)
Electrical impedance tomography
Tomography
Computational physics
Physics
Nuclear magnetic resonance
Mathematical analysis
Optics
Mathematics
Operating system
Quantum mechanics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1907.13451
- https://arxiv.org/pdf/1907.13451
- OA Status
- green
- Cited By
- 3
- References
- 21
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2964756768
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2964756768Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1907.13451Digital Object Identifier
- Title
-
Transceive Phase Corrected Contrast Source Inversion-Electrical Properties TomographyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-31Full publication date if available
- Authors
-
Peter R. S. Stijnman, Stefano Mandija, Patrick Fuchs, Cornelis A. T. van den Berg, Rob RemisList of authors in order
- Landing page
-
https://arxiv.org/abs/1907.13451Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1907.13451Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1907.13451Direct OA link when available
- Concepts
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Imaging phantom, Computer science, Finite-difference time-domain method, MATLAB, Algorithm, Helmholtz free energy, Inverse problem, Phase (matter), Electrical impedance tomography, Tomography, Computational physics, Physics, Nuclear magnetic resonance, Mathematical analysis, Optics, Mathematics, Operating system, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 1, 2019: 1, 2018: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1907.13451 |
| primary_location.id | pmh:oai:arXiv.org:1907.13451 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/1907.13451 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/1907.13451 |
| publication_date | 2019-07-31 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W1550107637, https://openalex.org/W2586325968, https://openalex.org/W2107855009, https://openalex.org/W2117026441, https://openalex.org/W2302082100, https://openalex.org/W2045527031, https://openalex.org/W2040678677, https://openalex.org/W2009715559, https://openalex.org/W2128201718, https://openalex.org/W2736504683, https://openalex.org/W1580194065, https://openalex.org/W1970571551, https://openalex.org/W1540481168, https://openalex.org/W2804924590, https://openalex.org/W1854566075, https://openalex.org/W1494916923, https://openalex.org/W2107406956, https://openalex.org/W2617763039, https://openalex.org/W2059906541, https://openalex.org/W2107122157, https://openalex.org/W1531684858 |
| referenced_works_count | 21 |
| abstract_inverted_index.a | 35, 82, 147 |
| abstract_inverted_index.In | 180 |
| abstract_inverted_index.MR | 144 |
| abstract_inverted_index.RF | 111, 140 |
| abstract_inverted_index.an | 143 |
| abstract_inverted_index.as | 34, 227 |
| abstract_inverted_index.be | 24, 32 |
| abstract_inverted_index.by | 80 |
| abstract_inverted_index.if | 129 |
| abstract_inverted_index.is | 9, 62, 78, 105, 121, 149, 167, 185, 195 |
| abstract_inverted_index.it | 166, 184 |
| abstract_inverted_index.of | 12, 17, 161, 223 |
| abstract_inverted_index.on | 72 |
| abstract_inverted_index.to | 51, 64, 108, 127, 151 |
| abstract_inverted_index.MRI | 115, 177 |
| abstract_inverted_index.The | 38, 58, 214 |
| abstract_inverted_index.and | 15, 30 |
| abstract_inverted_index.are | 191, 212 |
| abstract_inverted_index.can | 23, 31, 133, 171 |
| abstract_inverted_index.for | 138, 155, 216 |
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| abstract_inverted_index.use | 65 |
| abstract_inverted_index.was | 49 |
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| abstract_inverted_index.From | 158 |
| abstract_inverted_index.This | 77 |
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| abstract_inverted_index.from | 43, 230 |
| abstract_inverted_index.here | 41 |
| abstract_inverted_index.i.e. | 94 |
| abstract_inverted_index.into | 89 |
| abstract_inverted_index.more | 116, 196 |
| abstract_inverted_index.same | 225 |
| abstract_inverted_index.seen | 168 |
| abstract_inverted_index.show | 152 |
| abstract_inverted_index.than | 70, 198 |
| abstract_inverted_index.that | 169, 187 |
| abstract_inverted_index.this | 156 |
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| abstract_inverted_index.were | 222 |
| abstract_inverted_index.with | 53, 123, 146 |
| abstract_inverted_index.work | 39, 52 |
| abstract_inverted_index.(EPT) | 8 |
| abstract_inverted_index.(MRI) | 3 |
| abstract_inverted_index.These | 20 |
| abstract_inverted_index.based | 4, 56, 202 |
| abstract_inverted_index.first | 206 |
| abstract_inverted_index.model | 109 |
| abstract_inverted_index.phase | 68, 75 |
| abstract_inverted_index.radio | 101 |
| abstract_inverted_index.shown | 50 |
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| abstract_inverted_index.which | 48 |
| abstract_inverted_index.Matlab | 55, 164 |
| abstract_inverted_index.fields | 112 |
| abstract_inverted_index.inside | 113 |
| abstract_inverted_index.phase, | 88 |
| abstract_inverted_index.rather | 69 |
| abstract_inverted_index.shield | 104 |
| abstract_inverted_index.shown. | 213 |
| abstract_inverted_index.tested | 122 |
| abstract_inverted_index.CSI-EPT | 46, 60, 132, 170, 194, 207 |
| abstract_inverted_index.fields. | 141 |
| abstract_inverted_index.forward | 83 |
| abstract_inverted_index.imaging | 2 |
| abstract_inverted_index.inverse | 91 |
| abstract_inverted_index.method. | 157 |
| abstract_inverted_index.methods | 29 |
| abstract_inverted_index.phantom | 148 |
| abstract_inverted_index.precise | 197 |
| abstract_inverted_index.quality | 226 |
| abstract_inverted_index.receive | 87 |
| abstract_inverted_index.relying | 71 |
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| abstract_inverted_index.methods. | 203 |
| abstract_inverted_index.observed | 186 |
| abstract_inverted_index.obtained | 25 |
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| abstract_inverted_index.retrieve | 134 |
| abstract_inverted_index.standard | 200 |
| abstract_inverted_index.tissues. | 19 |
| abstract_inverted_index.Helmholtz | 201 |
| abstract_inverted_index.algorithm | 47, 61, 120 |
| abstract_inverted_index.computing | 85 |
| abstract_inverted_index.continues | 42 |
| abstract_inverted_index.different | 18, 27 |
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| abstract_inverted_index.potential | 154 |
| abstract_inverted_index.presented | 40 |
| abstract_inverted_index.resonance | 1 |
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| abstract_inverted_index.experiment | 145 |
| abstract_inverted_index.mechanism. | 37 |
| abstract_inverted_index.properties | 6, 22, 137, 175, 190 |
| abstract_inverted_index.retrieving | 95 |
| abstract_inverted_index.tomography | 7 |
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| abstract_inverted_index.implemented | 107 |
| abstract_inverted_index.investigate | 128 |
| abstract_inverted_index.numerically | 106 |
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| abstract_inverted_index.quantities. | 179 |
| abstract_inverted_index.reconstruct | 172 |
| abstract_inverted_index.simulation. | 233 |
| abstract_inverted_index.simulations | 126, 165, 183 |
| abstract_inverted_index.Furthermore, | 99 |
| abstract_inverted_index.conductivity | 14 |
| abstract_inverted_index.implementing | 81 |
| abstract_inverted_index.minimization | 92 |
| abstract_inverted_index.nonetheless, | 193 |
| abstract_inverted_index.permittivity | 16 |
| abstract_inverted_index.reformulated | 63 |
| abstract_inverted_index.simulations. | 57 |
| abstract_inverted_index.quantification | 11 |
| abstract_inverted_index.reconstruction | 28, 218 |
| abstract_inverted_index.two-dimensional | 45, 54, 131, 163 |
| abstract_inverted_index.underestimated, | 192 |
| abstract_inverted_index.three-dimensional | 124, 139, 182 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |