Source:http://linkedlifedata.com/resource/pubmed/id/21452696
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
2011-4-1
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pubmed:abstractText |
In this article, we describe a method to estimate the spatial dose variation, average dose and mean glandular dose (MGD) for a real breast using Monte Carlo simulation based on cone beam breast computed tomography (CBBCT) images. We present and discuss the dose estimation results for 19 mastectomy breast specimens, 4 homogeneous breast models, 6 ellipsoidal phantoms, and 6 cylindrical phantoms.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Feb
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pubmed:issn |
0094-2405
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
38
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
589-97
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pubmed:meshHeading |
pubmed-meshheading:21452696-Breast,
pubmed-meshheading:21452696-Cone-Beam Computed Tomography,
pubmed-meshheading:21452696-Humans,
pubmed-meshheading:21452696-Mammography,
pubmed-meshheading:21452696-Monte Carlo Method,
pubmed-meshheading:21452696-Phantoms, Imaging,
pubmed-meshheading:21452696-Radiation Dosage,
pubmed-meshheading:21452696-Reproducibility of Results
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pubmed:year |
2011
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pubmed:articleTitle |
Radiation doses in cone-beam breast computed tomography: a Monte Carlo simulation study.
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pubmed:affiliation |
Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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