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THE EFFECT OF DIFFERENT ADAPTATION STRENGTHS ON IMAGE QUALITY AND RADIATION DOSE USING SIEMENS CARE DOSE 4D.

Söderberg, Marcus LU and Gunnarsson, Mikael LU (2010) In Radiation Protection Dosimetry Apr 7. p.173-179
Abstract
The purpose of this study was to evaluate the effect of different choices of adaptation strengths on image quality and radiation exposure to the patient with Siemens automatic exposure control system called CARE Dose 4D. An anthropomorphic chest phantom was used to simulate the patient and computed tomography scans were performed with a Siemens SOMATOM Sensation 16 and 64. Owing to adaptation strengths, a considerable reduction (26.6-51.5 % and 27.5-49.5 % for Sensation 16 and Sensation 64, respectively) in the radiation dose was found when compared with using a fixed tube current. There was a substantial difference in the image quality (image noise) between the adaptation strengths. Independent of selected adaptation strengths, the level... (More)
The purpose of this study was to evaluate the effect of different choices of adaptation strengths on image quality and radiation exposure to the patient with Siemens automatic exposure control system called CARE Dose 4D. An anthropomorphic chest phantom was used to simulate the patient and computed tomography scans were performed with a Siemens SOMATOM Sensation 16 and 64. Owing to adaptation strengths, a considerable reduction (26.6-51.5 % and 27.5-49.5 % for Sensation 16 and Sensation 64, respectively) in the radiation dose was found when compared with using a fixed tube current. There was a substantial difference in the image quality (image noise) between the adaptation strengths. Independent of selected adaptation strengths, the level of image noise throughout the chest phantom increased when CARE Dose 4D was used (p < 0.0001). We conclude that the adaptation strengths can be used to obtain user-specified modifications to image quality or radiation exposure to the patient. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Radiation Protection Dosimetry
volume
Apr 7
pages
173 - 179
publisher
Nuclear Technology Publishing
external identifiers
  • wos:000277738200030
  • pmid:20231163
  • scopus:77953327950
ISSN
1742-3406
DOI
10.1093/rpd/ncq098
language
English
LU publication?
yes
id
7aed9620-0a1e-4bcb-ad90-f51aed8e90e4 (old id 1582138)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/20231163?dopt=Abstract
date added to LUP
2010-04-07 16:33:35
date last changed
2017-03-05 04:22:38
@article{7aed9620-0a1e-4bcb-ad90-f51aed8e90e4,
  abstract     = {The purpose of this study was to evaluate the effect of different choices of adaptation strengths on image quality and radiation exposure to the patient with Siemens automatic exposure control system called CARE Dose 4D. An anthropomorphic chest phantom was used to simulate the patient and computed tomography scans were performed with a Siemens SOMATOM Sensation 16 and 64. Owing to adaptation strengths, a considerable reduction (26.6-51.5 % and 27.5-49.5 % for Sensation 16 and Sensation 64, respectively) in the radiation dose was found when compared with using a fixed tube current. There was a substantial difference in the image quality (image noise) between the adaptation strengths. Independent of selected adaptation strengths, the level of image noise throughout the chest phantom increased when CARE Dose 4D was used (p &lt; 0.0001). We conclude that the adaptation strengths can be used to obtain user-specified modifications to image quality or radiation exposure to the patient.},
  author       = {Söderberg, Marcus and Gunnarsson, Mikael},
  issn         = {1742-3406},
  language     = {eng},
  pages        = {173--179},
  publisher    = {Nuclear Technology Publishing},
  series       = {Radiation Protection Dosimetry},
  title        = {THE EFFECT OF DIFFERENT ADAPTATION STRENGTHS ON IMAGE QUALITY AND RADIATION DOSE USING SIEMENS CARE DOSE 4D.},
  url          = {http://dx.doi.org/10.1093/rpd/ncq098},
  volume       = {Apr 7},
  year         = {2010},
}