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Quantitative Measurements Versus Receiver Operating Characteristics and Visual Grading Regression in CT Images Reconstructed with Iterative Reconstruction. A Phantom Study

Jensen, Kristin; Andersen, Hilde Kjernlie; Smedby, Örjan; Østerås, Bjørn Helge; Aarsnes, Anette; Tingberg, Anders LU ; Fosse, Erik and Martinsen, Anne Catrine (2017) In Academic Radiology
Abstract

Rationale and Objectives: This study aimed to evaluate the correlation of quantitative measurements with visual grading regression (VGR) and receiver operating characteristics (ROC) analysis in computed tomography (CT) images reconstructed with iterative reconstruction. Materials and Methods: CT scans on a liver phantom were performed on CT scanners from GE, Philips, and Toshiba at three dose levels. Images were reconstructed with filtered back projection (FBP) and hybrid iterative techniques (ASiR, iDose, and AIDR 3D of different strengths). Images were visually assessed by five readers using a four- and five-grade ordinal scale for liver low contrast lesions and for 10 image quality criteria. The results were analyzed with ROC and... (More)

Rationale and Objectives: This study aimed to evaluate the correlation of quantitative measurements with visual grading regression (VGR) and receiver operating characteristics (ROC) analysis in computed tomography (CT) images reconstructed with iterative reconstruction. Materials and Methods: CT scans on a liver phantom were performed on CT scanners from GE, Philips, and Toshiba at three dose levels. Images were reconstructed with filtered back projection (FBP) and hybrid iterative techniques (ASiR, iDose, and AIDR 3D of different strengths). Images were visually assessed by five readers using a four- and five-grade ordinal scale for liver low contrast lesions and for 10 image quality criteria. The results were analyzed with ROC and VGR. Standard deviation, signal-to-noise ratios, and contrast-to-noise ratios were measured in the images. Results: All data were compared to FBP. The results of the quantitative measurements were improved for all algorithms. ROC analysis showed improved lesion detection with ASiR and AIDR and decreased lesion detection with iDose. VGR found improved noise properties for all algorithms, increased sharpness with iDose and AIDR, and decreased artifacts from the spine with AIDR, whereas iDose increased the artifacts from the spine. The contrast in the spine decreased with ASiR and iDose. Conclusions: Improved quantitative measurements in images reconstructed with iterative reconstruction compared to FBP are not equivalent to improved diagnostic image accuracy.

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author
organization
publishing date
type
Contribution to journal
publication status
in press
subject
keywords
CT iterative reconstruction, Diagnostic accuracy, Quantitative measurements, Receiver operating characteristics, Visual grading regression
in
Academic Radiology
publisher
Elsevier
external identifiers
  • scopus:85036511716
ISSN
1076-6332
DOI
10.1016/j.acra.2017.10.020
language
English
LU publication?
yes
id
4fdaf15e-6bf1-4aca-a443-7dfaafff49e8
date added to LUP
2018-01-10 13:41:50
date last changed
2018-01-11 03:00:02
@article{4fdaf15e-6bf1-4aca-a443-7dfaafff49e8,
  abstract     = {<p>Rationale and Objectives: This study aimed to evaluate the correlation of quantitative measurements with visual grading regression (VGR) and receiver operating characteristics (ROC) analysis in computed tomography (CT) images reconstructed with iterative reconstruction. Materials and Methods: CT scans on a liver phantom were performed on CT scanners from GE, Philips, and Toshiba at three dose levels. Images were reconstructed with filtered back projection (FBP) and hybrid iterative techniques (ASiR, iDose, and AIDR 3D of different strengths). Images were visually assessed by five readers using a four- and five-grade ordinal scale for liver low contrast lesions and for 10 image quality criteria. The results were analyzed with ROC and VGR. Standard deviation, signal-to-noise ratios, and contrast-to-noise ratios were measured in the images. Results: All data were compared to FBP. The results of the quantitative measurements were improved for all algorithms. ROC analysis showed improved lesion detection with ASiR and AIDR and decreased lesion detection with iDose. VGR found improved noise properties for all algorithms, increased sharpness with iDose and AIDR, and decreased artifacts from the spine with AIDR, whereas iDose increased the artifacts from the spine. The contrast in the spine decreased with ASiR and iDose. Conclusions: Improved quantitative measurements in images reconstructed with iterative reconstruction compared to FBP are not equivalent to improved diagnostic image accuracy.</p>},
  author       = {Jensen, Kristin and Andersen, Hilde Kjernlie and Smedby, Örjan and Østerås, Bjørn Helge and Aarsnes, Anette and Tingberg, Anders and Fosse, Erik and Martinsen, Anne Catrine},
  issn         = {1076-6332},
  keyword      = {CT iterative reconstruction,Diagnostic accuracy,Quantitative measurements,Receiver operating characteristics,Visual grading regression},
  language     = {eng},
  publisher    = {Elsevier},
  series       = {Academic Radiology},
  title        = {Quantitative Measurements Versus Receiver Operating Characteristics and Visual Grading Regression in CT Images Reconstructed with Iterative Reconstruction. A Phantom Study},
  url          = {http://dx.doi.org/10.1016/j.acra.2017.10.020},
  year         = {2017},
}