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MODEL-BASED ITERATIVE RECONSTRUCTION ENABLES THE EVALUATION OF THIN-SLICE COMPUTED TOMOGRAPHY IMAGES WITHOUT DEGRADING IMAGE QUALITY OR INCREASING RADIATION DOSE.

Aurumskjöld, Marie-Louise LU ; Ydström, Kristina; Tingberg, Anders LU and Söderberg, Marcus LU (2015) In Radiation Protection Dosimetry
Abstract
Computed tomography (CT) is one of the most important modalities in a radiological department. This technique not only produces images that enable radiological reports with high diagnostic confidence, but it may also provide an elevated radiation dose to the patient. The radiation dose can be reduced by using advanced image reconstruction algorithms. This study was performed on a Brilliance iCT, equipped with iDose(4) iterative reconstruction and an iterative model-based reconstruction (IMR) method. The purpose was to investigate the effect of reduced slice thickness combined with an IMR method on image quality compared with standard slice thickness with iDose(4) reconstruction. The results of objective and subjective image quality... (More)
Computed tomography (CT) is one of the most important modalities in a radiological department. This technique not only produces images that enable radiological reports with high diagnostic confidence, but it may also provide an elevated radiation dose to the patient. The radiation dose can be reduced by using advanced image reconstruction algorithms. This study was performed on a Brilliance iCT, equipped with iDose(4) iterative reconstruction and an iterative model-based reconstruction (IMR) method. The purpose was to investigate the effect of reduced slice thickness combined with an IMR method on image quality compared with standard slice thickness with iDose(4) reconstruction. The results of objective and subjective image quality evaluations showed that a thinner slice combined with IMR can improve the image quality and reduce partial volume artefacts compared with the standard slice thickness with iDose(4). In conclusion, IMR enables reduction of the slice thickness while maintaining or even improving image quality versus iDose(4). (Less)
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author
organization
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type
Contribution to journal
publication status
epub
subject
in
Radiation Protection Dosimetry
publisher
Nuclear Technology Publishing
external identifiers
  • PMID:26590394
  • Scopus:84979085662
ISSN
1742-3406
DOI
10.1093/rpd/ncv474
language
English
LU publication?
yes
id
c21f6689-6934-4c0b-8c77-17f94d2391f0 (old id 8234957)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/26590394?dopt=Abstract
date added to LUP
2015-12-06 00:40:02
date last changed
2016-10-13 04:32:39
@misc{c21f6689-6934-4c0b-8c77-17f94d2391f0,
  abstract     = {Computed tomography (CT) is one of the most important modalities in a radiological department. This technique not only produces images that enable radiological reports with high diagnostic confidence, but it may also provide an elevated radiation dose to the patient. The radiation dose can be reduced by using advanced image reconstruction algorithms. This study was performed on a Brilliance iCT, equipped with iDose(4) iterative reconstruction and an iterative model-based reconstruction (IMR) method. The purpose was to investigate the effect of reduced slice thickness combined with an IMR method on image quality compared with standard slice thickness with iDose(4) reconstruction. The results of objective and subjective image quality evaluations showed that a thinner slice combined with IMR can improve the image quality and reduce partial volume artefacts compared with the standard slice thickness with iDose(4). In conclusion, IMR enables reduction of the slice thickness while maintaining or even improving image quality versus iDose(4).},
  author       = {Aurumskjöld, Marie-Louise and Ydström, Kristina and Tingberg, Anders and Söderberg, Marcus},
  issn         = {1742-3406},
  language     = {eng},
  month        = {11},
  publisher    = {ARRAY(0x7d4e168)},
  series       = {Radiation Protection Dosimetry},
  title        = {MODEL-BASED ITERATIVE RECONSTRUCTION ENABLES THE EVALUATION OF THIN-SLICE COMPUTED TOMOGRAPHY IMAGES WITHOUT DEGRADING IMAGE QUALITY OR INCREASING RADIATION DOSE.},
  url          = {http://dx.doi.org/10.1093/rpd/ncv474},
  year         = {2015},
}