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Quantitative Conductivity Estimation Error due to Statistical Noise in Complex B1+ Map
DC Field | Value | Language |
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dc.contributor.author | 이준성 | - |
dc.date.accessioned | 2015-12-28T11:04:16Z | - |
dc.date.available | 2015-12-28T11:04:16Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1226-9751 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/138629 | - |
dc.description.abstract | Purpose : In-vivo conductivity reconstruction using transmit field ($B_1{^+}$) information of MRI was proposed. We assessed the accuracy of conductivity reconstruction in the presence of statistical noise in complex $B_1{^+}$ map and provided a parametric model of the conductivity-to-noise ratio value. Materials and Methods: The $B_1{^+}$ distribution was simulated for a cylindrical phantom model. By adding complex Gaussian noise to the simulated $B_1{^+}$ map, quantitative conductivity estimation error was evaluated. The quantitative evaluation process was repeated over several different parameters such as Larmor frequency, object radius and SNR of $B_1{^+}$ map. A parametric model for the conductivity-to-noise ratio was developed according to these various parameters. Results: According to the simulation results, conductivity estimation is more sensitive to statistical noise in $B_1{^+}$ phase than to noise in $B_1{^+}$ magnitude. The conductivity estimate of the object of interest does not depend on the external object surrounding it. The conductivity-to-noise ratio is proportional to the signal-to-noise ratio of the $B_1{^+}$ map, Larmor frequency, the conductivity value itself and the number of averaged pixels. To estimate accurate conductivity value of the targeted tissue, SNR of $B_1{^+}$ map and adequate filtering size have to be taken into account for conductivity reconstruction process. In addition, the simulation result was verified at 3T conventional MRI scanner. Conclusion: Through all these relationships, quantitative conductivity estimation error due to statistical noise in $B_1{^+}$ map is modeled. By using this model, further issues regarding filtering and reconstruction algorithms can be investigated for MREPT. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 303~313 | - |
dc.relation.isPartOf | Journal of the Korean Society of Magnetic Resonance in Medicine (대한자기공명의과학회지) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Quantitative Conductivity Estimation Error due to Statistical Noise in Complex B1+ Map | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Life Science (의생명과학부) | - |
dc.contributor.googleauthor | Jaewook Shin | - |
dc.contributor.googleauthor | Joonsung Lee | - |
dc.contributor.googleauthor | Min Oh Kim | - |
dc.contributor.googleauthor | Narae Choi | - |
dc.contributor.googleauthor | Jin Keun Seo | - |
dc.contributor.googleauthor | Dong Hyun Kim | - |
dc.identifier.doi | 10.13104/jksmrm.2014.18.4.303 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A03176 | - |
dc.relation.journalcode | J01880 | - |
dc.subject.keyword | MREPT | - |
dc.subject.keyword | Conductivity mapping | - |
dc.subject.keyword | Noise analysis | - |
dc.contributor.alternativeName | Lee, Joonsung | - |
dc.contributor.affiliatedAuthor | Lee, Joonsung | - |
dc.citation.volume | 18 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 303 | - |
dc.citation.endPage | 313 | - |
dc.identifier.bibliographicCitation | Journal of the Korean Society of Magnetic Resonance in Medicine (대한자기공명의과학회지), Vol.18(4) : 303-313, 2014 | - |
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