Source:http://linkedlifedata.com/resource/pubmed/id/16461498
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1-3
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pubmed:dateCreated |
2006-3-15
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pubmed:abstractText |
The goal of this study was to determine the acquisition parameters for a low-dose multi-slice CT protocol and to compare the effective dose and the image quality of this low-dose protocol with the image quality of a clinical multi-slice CT protocol, routinely used for visualisation of the head. The low-dose protocol was derived from a clinical multi-slice CT protocol by lowering mA s and kV and increasing the pitch. The low-dose protocol yielded a dose reduction from 1.5 to 0.18 mSv for a multi-slice CT scan of the whole head, whereas noise in the low-dose CT images was increased. For bone segmentation, noise could be reduced by use of a non-linear edge preserving smoothing filter. Tests on ESP and skull phantom indicated that the accuracy of the measurements on low-dose CT is acceptable for image-based planning of maxillofacial and oral implant surgery, reducing the dose by a factor of 8.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
0144-8420
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
117
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
211-6
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:16461498-Humans,
pubmed-meshheading:16461498-Phantoms, Imaging,
pubmed-meshheading:16461498-Prostheses and Implants,
pubmed-meshheading:16461498-Radiation Dosage,
pubmed-meshheading:16461498-Radiographic Image Enhancement,
pubmed-meshheading:16461498-Radiography, Panoramic,
pubmed-meshheading:16461498-Radiometry,
pubmed-meshheading:16461498-Skull,
pubmed-meshheading:16461498-Surgery, Oral,
pubmed-meshheading:16461498-Tomography, X-Ray Computed
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pubmed:year |
2005
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pubmed:articleTitle |
Radiation dose vs. image quality for low-dose CT protocols of the head for maxillofacial surgery and oral implant planning.
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pubmed:affiliation |
Medical Image Computing-ESAT/PSI, Hospital Gasthuisberg, Katholieke Universiteit Leuven, Herestraat 49, B-3000 Leuven, Belgium. Miet.Loubele@uz.kuleuven.ac.be
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
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