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Comparing five different iterative reconstruction algorithms for computed tomography in an ROC study

Jensen, Kristin ; Martinsen, Anne Catrine T. ; Tingberg, Anders LU ; Aalokken, Trond Mogens and Fosse, Erik (2014) In European Radiology 24(12). p.2989-3002
Abstract
The purpose of this study was to evaluate lesion conspicuity achieved with five different iterative reconstruction techniques from four CT vendors at three different dose levels. Comparisons were made of iterative algorithm and filtered back projection (FBP) among and within systems. An anthropomorphic liver phantom was examined with four CT systems, each from a different vendor. CTDIvol levels of 5 mGy, 10 mGy and 15 mGy were chosen. Images were reconstructed with FBP and the iterative algorithm on the system. Images were interpreted independently by four observers, and the areas under the ROC curve (AUCs) were calculated. Noise and contrast-to-noise ratios (CNR) were measured. One iterative algorithm increased AUC (0.79, 0.95, and 0.97)... (More)
The purpose of this study was to evaluate lesion conspicuity achieved with five different iterative reconstruction techniques from four CT vendors at three different dose levels. Comparisons were made of iterative algorithm and filtered back projection (FBP) among and within systems. An anthropomorphic liver phantom was examined with four CT systems, each from a different vendor. CTDIvol levels of 5 mGy, 10 mGy and 15 mGy were chosen. Images were reconstructed with FBP and the iterative algorithm on the system. Images were interpreted independently by four observers, and the areas under the ROC curve (AUCs) were calculated. Noise and contrast-to-noise ratios (CNR) were measured. One iterative algorithm increased AUC (0.79, 0.95, and 0.97) compared to FBP (0.70, 0.86, and 0.93) at all dose levels (p < 0.001 and p = 0.047). Another algorithm increased AUC from 0.78 with FBP to 0.84 (p = 0.007) at 5 mGy. Differences at 10 and 15 mGy were not significant (p-values: 0.084-0.883). Three algorithms showed no difference in AUC compared to FBP (p-values: 0.008-1.000). All of the algorithms decreased noise (10-71 %) and improved CNR. Only two algorithms improved lesion detection, even though noise reduction was shown with all algorithms. aEuro cent Iterative reconstruction algorithms affected lesion detection differently at different dose levels. aEuro cent One iterative algorithm improved lesion detectability compared to filtered back projection. aEuro cent Three algorithms did not significantly improve lesion detectability. aEuro cent One algorithm improved lesion detectability at the lowest dose level. (Less)
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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Computed tomography, Image reconstruction, Radiological phantom, Liver
in
European Radiology
volume
24
issue
12
pages
2989 - 3002
publisher
Springer
external identifiers
  • wos:000345141300001
  • scopus:84911807477
ISSN
0938-7994
DOI
10.1007/s00330-014-3333-4
language
English
LU publication?
yes
id
025a5b1a-285d-40bf-8119-20ec7bb8cfaa (old id 4982893)
date added to LUP
2016-04-01 10:04:05
date last changed
2022-02-09 22:17:40
@article{025a5b1a-285d-40bf-8119-20ec7bb8cfaa,
  abstract     = {{The purpose of this study was to evaluate lesion conspicuity achieved with five different iterative reconstruction techniques from four CT vendors at three different dose levels. Comparisons were made of iterative algorithm and filtered back projection (FBP) among and within systems. An anthropomorphic liver phantom was examined with four CT systems, each from a different vendor. CTDIvol levels of 5 mGy, 10 mGy and 15 mGy were chosen. Images were reconstructed with FBP and the iterative algorithm on the system. Images were interpreted independently by four observers, and the areas under the ROC curve (AUCs) were calculated. Noise and contrast-to-noise ratios (CNR) were measured. One iterative algorithm increased AUC (0.79, 0.95, and 0.97) compared to FBP (0.70, 0.86, and 0.93) at all dose levels (p &lt; 0.001 and p = 0.047). Another algorithm increased AUC from 0.78 with FBP to 0.84 (p = 0.007) at 5 mGy. Differences at 10 and 15 mGy were not significant (p-values: 0.084-0.883). Three algorithms showed no difference in AUC compared to FBP (p-values: 0.008-1.000). All of the algorithms decreased noise (10-71 %) and improved CNR. Only two algorithms improved lesion detection, even though noise reduction was shown with all algorithms. aEuro cent Iterative reconstruction algorithms affected lesion detection differently at different dose levels. aEuro cent One iterative algorithm improved lesion detectability compared to filtered back projection. aEuro cent Three algorithms did not significantly improve lesion detectability. aEuro cent One algorithm improved lesion detectability at the lowest dose level.}},
  author       = {{Jensen, Kristin and Martinsen, Anne Catrine T. and Tingberg, Anders and Aalokken, Trond Mogens and Fosse, Erik}},
  issn         = {{0938-7994}},
  keywords     = {{Computed tomography; Image reconstruction; Radiological phantom; Liver}},
  language     = {{eng}},
  number       = {{12}},
  pages        = {{2989--3002}},
  publisher    = {{Springer}},
  series       = {{European Radiology}},
  title        = {{Comparing five different iterative reconstruction algorithms for computed tomography in an ROC study}},
  url          = {{http://dx.doi.org/10.1007/s00330-014-3333-4}},
  doi          = {{10.1007/s00330-014-3333-4}},
  volume       = {{24}},
  year         = {{2014}},
}