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 |
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| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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England
01.01.2005
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| ISSN: | 0144-8420 |
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| Abstract | 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). |
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| AbstractList | 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).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). 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). |
| Author | Johansson, S Ledenius, K Söderberg, J Wiklund, L M Gustavsson, M Stålhammar, F Thilander Klang, A |
| Author_xml | – sequence: 1 givenname: K surname: Ledenius fullname: Ledenius, K email: kerstin.ledenius@vgregion.se organization: Department of Radiation Physics, Sahlgrenska University Hospital, SE-413 45 Göteborg, Sweden. kerstin.ledenius@vgregion.se – sequence: 2 givenname: M surname: Gustavsson fullname: Gustavsson, M – sequence: 3 givenname: S surname: Johansson fullname: Johansson, S – sequence: 4 givenname: F surname: Stålhammar fullname: Stålhammar, F – sequence: 5 givenname: J surname: Söderberg fullname: Söderberg, J – sequence: 6 givenname: L M surname: Wiklund fullname: Wiklund, L M – sequence: 7 givenname: A surname: Thilander Klang fullname: Thilander Klang, A |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15933128$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | 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 |
| Title | A method of predicting the image noise in paediatric multi-slice computed tomography images |
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