SIMULATED DOSE REDUCTION BY ADDING ARTIFICIAL NOISE TO MEASURED RAW DATA: A VALIDATION STUDY.
(2010) In Radiation Protection Dosimetry 139. p.71-77- Abstract
- The purpose of this study was to verify and validate a noise simulation tool called Dose Tutor (VAMP GmbH) in terms of level and texture of the simulated noise. By adding artificial noise to measured computed tomography (CT) raw data, a scan acquired with a lower dose (mAs) than the actual one can be simulated. A homogeneous polyethylene phantom and an anthropomorphic chest phantom were scanned for different mAs levels, tube voltages, slice thicknesses and reconstruction kernels. The simulated noise levels were compared with the noise levels in real transverse slice images actually acquired with corresponding mAs values. In general, the noise comparisons showed acceptable agreement in magnitude (<20 % deviation in pixel standard... (More)
- The purpose of this study was to verify and validate a noise simulation tool called Dose Tutor (VAMP GmbH) in terms of level and texture of the simulated noise. By adding artificial noise to measured computed tomography (CT) raw data, a scan acquired with a lower dose (mAs) than the actual one can be simulated. A homogeneous polyethylene phantom and an anthropomorphic chest phantom were scanned for different mAs levels, tube voltages, slice thicknesses and reconstruction kernels. The simulated noise levels were compared with the noise levels in real transverse slice images actually acquired with corresponding mAs values. In general, the noise comparisons showed acceptable agreement in magnitude (<20 % deviation in pixel standard deviation). Also, the calculated noise power spectra were similar, which indicates that the noise texture is correctly reproduced. In conclusion, this study establishes that the Dose Tutor might be a useful tool for estimating the dose reduction potential for CT protocols. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1552454
- author
- Söderberg, Marcus LU ; Gunnarsson, Mikael LU and Nilsson, Mats LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Radiation Protection Dosimetry
- volume
- 139
- pages
- 71 - 77
- publisher
- Oxford University Press
- external identifiers
-
- wos:000277738200012
- pmid:20172933
- scopus:77953351550
- ISSN
- 1742-3406
- DOI
- 10.1093/rpd/ncq027
- project
- Image quality / radiation doses for CT examinations
- language
- English
- LU publication?
- yes
- id
- 623593af-5353-4cf6-9e5c-6f8b10f938f3 (old id 1552454)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/20172933?dopt=Abstract
- date added to LUP
- 2016-04-04 09:23:24
- date last changed
- 2022-01-29 17:38:32
@article{623593af-5353-4cf6-9e5c-6f8b10f938f3, abstract = {{The purpose of this study was to verify and validate a noise simulation tool called Dose Tutor (VAMP GmbH) in terms of level and texture of the simulated noise. By adding artificial noise to measured computed tomography (CT) raw data, a scan acquired with a lower dose (mAs) than the actual one can be simulated. A homogeneous polyethylene phantom and an anthropomorphic chest phantom were scanned for different mAs levels, tube voltages, slice thicknesses and reconstruction kernels. The simulated noise levels were compared with the noise levels in real transverse slice images actually acquired with corresponding mAs values. In general, the noise comparisons showed acceptable agreement in magnitude (<20 % deviation in pixel standard deviation). Also, the calculated noise power spectra were similar, which indicates that the noise texture is correctly reproduced. In conclusion, this study establishes that the Dose Tutor might be a useful tool for estimating the dose reduction potential for CT protocols.}}, author = {{Söderberg, Marcus and Gunnarsson, Mikael and Nilsson, Mats}}, issn = {{1742-3406}}, language = {{eng}}, pages = {{71--77}}, publisher = {{Oxford University Press}}, series = {{Radiation Protection Dosimetry}}, title = {{SIMULATED DOSE REDUCTION BY ADDING ARTIFICIAL NOISE TO MEASURED RAW DATA: A VALIDATION STUDY.}}, url = {{http://dx.doi.org/10.1093/rpd/ncq027}}, doi = {{10.1093/rpd/ncq027}}, volume = {{139}}, year = {{2010}}, }