dc.citation.conferencePlace |
US |
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dc.citation.conferencePlace |
Chicago, IL |
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dc.citation.endPage |
1503 |
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dc.citation.startPage |
1500 |
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dc.citation.title |
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
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dc.contributor.author |
Chun, Se Young |
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dc.contributor.author |
Fessler, JA |
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dc.date.accessioned |
2023-12-20T03:07:41Z |
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dc.date.available |
2023-12-20T03:07:41Z |
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dc.date.created |
2014-12-23 |
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dc.date.issued |
2011-04-01 |
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dc.description.abstract |
Patient motion degrades image quality in medical imaging. Gating can reduce motion artifacts by using part of the acquired data, but can increase noise. Motion-compensated image reconstruction (MCIR) utilizes all collected data with motion information to reduce motion artifacts and noise. |
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dc.identifier.bibliographicCitation |
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, pp.1500 - 1503 |
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dc.identifier.doi |
10.1109/ISBI.2011.5872685 |
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dc.identifier.issn |
1945-7928 |
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dc.identifier.scopusid |
2-s2.0-80055031059 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/46817 |
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dc.identifier.url |
https://ieeexplore.ieee.org/document/5872685 |
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dc.language |
영어 |
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dc.publisher |
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
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dc.title |
Regularization design for isotropic spatial resolution in motion-compensated image reconstruction |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2011-03-30 |
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