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Model based iterative reconstruction IMR gives possibility to evaluate thinner slice thicknesses than conventional iterative reconstruction iDose(4) - a phantom study

Aurumskjöld, Marie-Louise LU ; Ydstrom, Kristina; Tingberg, Anders LU and Söderberg, Marcus LU (2015) Conference on Medical Imaging - Physics of Medical Imaging, 2015 In Medical Imaging 2015: Physics of Medical Imaging 9412. p.94124-94124
Abstract
Computed tomography (CT) is one of the most important modalities in a radiological department, which produces images with high diagnostic confidence, but in some cases contributes to a high radiation dose to the patient. The radiation dose can be reduced by the use of advanced image reconstruction algorithms. This study was done on a Philips Brilliance iCT with iterative reconstruction iDose(4) and model-based iterative reconstruction IMR. The purpose was to investigate the effect on the image quality with thin slice images reconstructed with IMR, compared to standard slice thickness reconstructed with iDose(4). Objective measurements of noise and contrast-to-noise ratio were performed using an image quality phantom, an anthropomorphic... (More)
Computed tomography (CT) is one of the most important modalities in a radiological department, which produces images with high diagnostic confidence, but in some cases contributes to a high radiation dose to the patient. The radiation dose can be reduced by the use of advanced image reconstruction algorithms. This study was done on a Philips Brilliance iCT with iterative reconstruction iDose(4) and model-based iterative reconstruction IMR. The purpose was to investigate the effect on the image quality with thin slice images reconstructed with IMR, compared to standard slice thickness reconstructed with iDose(4). Objective measurements of noise and contrast-to-noise ratio were performed using an image quality phantom, an anthropomorphic phantom and clinical cases. Subjective evaluations of low-contrast resolution were performed by observers using an image quality phantom. IMR gives strong noise reduction and enhanced low-contrast and thereby enable selection of thinner slice thickness. Objective evaluation of image noise shows that thin slices reconstructed with IMR provides lower noise than thicker slice images reconstructed with iDose(4). With IMR the slice thickness is of less importance for the noise. With thinner slices the partial volume artefacts becomes less pronounced. In conclusion, we have shown that IMR enables reduction of the slice thickness and at the same time maintain or even reduce the noise level compared to iDose(4) reconstruction with standard slice thickness. This will subsequently result in an improvement of image quality for images reconstructed with IMR. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
computed tomography, iterative reconstruction, image quality
in
Medical Imaging 2015: Physics of Medical Imaging
volume
9412
pages
94124 - 94124
publisher
SPIE
conference name
Conference on Medical Imaging - Physics of Medical Imaging, 2015
external identifiers
  • wos:000355581700147
  • scopus:84943311393
ISSN
0277-786X
1996-756X
DOI
10.1117/12.2081824
language
English
LU publication?
yes
id
24cc2f4f-776d-4715-8abb-32f14bc74d99 (old id 7606144)
date added to LUP
2015-07-24 07:00:46
date last changed
2017-11-20 15:05:52
@inproceedings{24cc2f4f-776d-4715-8abb-32f14bc74d99,
  abstract     = {Computed tomography (CT) is one of the most important modalities in a radiological department, which produces images with high diagnostic confidence, but in some cases contributes to a high radiation dose to the patient. The radiation dose can be reduced by the use of advanced image reconstruction algorithms. This study was done on a Philips Brilliance iCT with iterative reconstruction iDose(4) and model-based iterative reconstruction IMR. The purpose was to investigate the effect on the image quality with thin slice images reconstructed with IMR, compared to standard slice thickness reconstructed with iDose(4). Objective measurements of noise and contrast-to-noise ratio were performed using an image quality phantom, an anthropomorphic phantom and clinical cases. Subjective evaluations of low-contrast resolution were performed by observers using an image quality phantom. IMR gives strong noise reduction and enhanced low-contrast and thereby enable selection of thinner slice thickness. Objective evaluation of image noise shows that thin slices reconstructed with IMR provides lower noise than thicker slice images reconstructed with iDose(4). With IMR the slice thickness is of less importance for the noise. With thinner slices the partial volume artefacts becomes less pronounced. In conclusion, we have shown that IMR enables reduction of the slice thickness and at the same time maintain or even reduce the noise level compared to iDose(4) reconstruction with standard slice thickness. This will subsequently result in an improvement of image quality for images reconstructed with IMR.},
  author       = {Aurumskjöld, Marie-Louise and Ydstrom, Kristina and Tingberg, Anders and Söderberg, Marcus},
  booktitle    = {Medical Imaging 2015: Physics of Medical Imaging},
  issn         = {0277-786X},
  keyword      = {computed tomography,iterative reconstruction,image quality},
  language     = {eng},
  pages        = {94124--94124},
  publisher    = {SPIE},
  title        = {Model based iterative reconstruction IMR gives possibility to evaluate thinner slice thicknesses than conventional iterative reconstruction iDose(4) - a phantom study},
  url          = {http://dx.doi.org/10.1117/12.2081824},
  volume       = {9412},
  year         = {2015},
}