A method of predicting the image noise in paediatric multi-slice computed tomography images

The purpose of this study was to develop an equation with which to determine the tube current to be used in order to obtain a certain image noise level for differently sized children undergoing multi-slice computed tomography examination. The relationship between image noise and detector dose for di...

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Vydáno v:Radiation protection dosimetry Ročník 114; číslo 1-3; s. 313
Hlavní autoři: Ledenius, K, Gustavsson, M, Johansson, S, Stålhammar, F, Söderberg, J, Wiklund, L M, Thilander Klang, A
Médium: Journal Article
Jazyk:angličtina
Vydáno: England 01.01.2005
Témata:
Head - diagnostic imaging
Humans
Phantoms, Imaging
Radiation Dosage
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted - methods
Radiography, Abdominal - methods
Radiography, Thoracic - methods
Tomography Scanners, X-Ray Computed
Tomography, X-Ray Computed - instrumentation
Tomography, X-Ray Computed - methods
Water - chemistry
ISSN:0144-8420
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Shrnutí:The purpose of this study was to develop an equation with which to determine the tube current to be used in order to obtain a certain image noise level for differently sized children undergoing multi-slice computed tomography examination. The relationship between image noise and detector dose for different examination protocols was established for a LightSpeed Ultra, an eight slice CT from GEMS, using homogeneous water phantoms of different sizes. Three different anatomical areas (head, thorax and abdomen) were studied in 111 patients between 0 and 17 y of age. The mean ratio between the calculated and the measured noise in patient images was established for the different areas. Head examinations showed the best correlation (measured-to-calculated noise ratio = 1.01). In the thorax, the calculated noise was generally higher than the measured noise (ratio = 0.74), and in the abdomen, the opposite result was found (ratio = 1.20).
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0144-8420
DOI:10.1093/rpd/nch568