|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
3
|
|
pubmed:dateCreated |
2006-2-6
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|
pubmed:abstractText |
Four-dimensional computerized tomography scans (4DCT) enable intrafractional motion to be determined. Because more than 1500 images can be generated with each 4DCT study, tools for efficient data visualization and evaluation are needed. We describe the use of color intensity projections (CIP) for visualizing mobility.
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|
pubmed:language |
eng
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pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Mar
|
|
pubmed:issn |
0360-3016
|
|
pubmed:author |
|
|
pubmed:issnType |
Print
|
|
pubmed:day |
1
|
|
pubmed:volume |
64
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
954-61
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|
pubmed:meshHeading |
pubmed-meshheading:16458780-Color,
pubmed-meshheading:16458780-Diaphragm,
pubmed-meshheading:16458780-Humans,
pubmed-meshheading:16458780-Image Interpretation, Computer-Assisted,
pubmed-meshheading:16458780-Lung Neoplasms,
pubmed-meshheading:16458780-Movement,
pubmed-meshheading:16458780-Respiration,
pubmed-meshheading:16458780-Software,
pubmed-meshheading:16458780-Tomography, X-Ray Computed
|
|
pubmed:year |
2006
|
|
pubmed:articleTitle |
Color intensity projections: a rapid approach for evaluating four-dimensional CT scans in treatment planning.
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|
pubmed:affiliation |
Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands.
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|
pubmed:publicationType |
Journal Article
|
