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Quantitative Measurements Versus Receiver Operating Characteristics and Visual Grading Regression in CT Images Reconstructed with Iterative Reconstruction: A Phantom Study
Oslo Univ Hosp, Dept Diagnost Phys, N-0454 Oslo, Norway.;Univ Oslo, Dept Phys, POB 1048 Blindern, N-0316 Oslo, Norway.;Oslo & Akershus Univ Coll Appl Sci, Dept Life Sci & Hlth, POB 4 St Olavs Plass, N-0130 Oslo, Norway..
Oslo Univ Hosp, Dept Diagnost Phys, N-0454 Oslo, Norway..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging.ORCID iD: 0000-0002-7750-1917
Oslo Univ Hosp, Dept Diagnost Phys, N-0454 Oslo, Norway.;Univ Oslo, Inst Clin Med, Oslo, Norway..
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2018 (English)In: Academic Radiology, ISSN 1076-6332, E-ISSN 1878-4046, Vol. 25, no 4, p. 509-518Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE INC , 2018. Vol. 25, no 4, p. 509-518
Keyword [en]
CT iterative reconstruction, quantitative measurements, visual grading regression, receiver operating characteristics, diagnostic accuracy
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:kth:diva-227780DOI: 10.1016/j.acra.2017.10.020ISI: 000431092300014PubMedID: 29198945Scopus ID: 2-s2.0-85036511716OAI: oai:DiVA.org:kth-227780DiVA, id: diva2:1205361
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QC 20180514

Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2018-05-14Bibliographically approved

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