Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Assessment of image quality in abdominal CT: potential dose reduction with model-based iterative reconstruction
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Faculty of Medicine and Health Sciences.
Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics. Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. KTH Royal Institute of Technology.ORCID iD: 0000-0002-7750-1917
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9446-6981
Show others and affiliations
2018 (English)In: European Radiology, ISSN 0938-7994, E-ISSN 1432-1084Article in journal (Refereed) Published
Abstract [en]

Purpose To estimate potential dose reduction in abdominal CT by visually comparing images reconstructed with filtered back projection (FBP) and strengths of 3 and 5 of a specific MBIR.

Material and methods A dual-source scanner was used to obtain three data sets each for 50 recruited patients with 30, 70 and 100% tube loads (mean CTDIvol 1.9, 3.4 and 6.2 mGy). Six image criteria were assessed independently by five radiologists. Potential dose reduction was estimated with Visual Grading Regression (VGR).

Results Comparing 30 and 70% tube load, improved image quality was observed as a significant strong effect of log tube load and reconstruction method with potential dose reduction relative to FBP of 22–47% for MBIR strength 3 (p < 0.001). For MBIR strength 5 no dose reduction was possible for image criteria 1 (liver parenchyma), but dose reduction between 34 and 74% was achieved for other criteria. Interobserver reliability showed agreement of 71–76% (κw 0.201–0.286) and intra-observer reliability of 82–96% (κw 0.525–0.783).

Conclusion MBIR showed improved image quality compared to FBP with positive correlation between MBIR strength and increasing potential dose reduction for all but one image criterion.

Place, publisher, year, edition, pages
Heidelberg: Springer, 2018.
Keywords [en]
Dose Computed tomography Iterative reconstruction Abdomen FBP
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-145274DOI: 10.1007/s00330-017-5113-4ISI: 000431653200023PubMedID: 29368163Scopus ID: 2-s2.0-85040915759OAI: oai:DiVA.org:liu-145274DiVA, id: diva2:1183967
Note

Funding agencies: ALF-grant from Region Ostergotland; LFoU-grant from Region Ostergotland; Medical Faculty at Linkoping University

Available from: 2018-02-20 Created: 2018-02-20 Last updated: 2018-05-30Bibliographically approved

Open Access in DiVA

fulltext(2444 kB)66 downloads
File information
File name FULLTEXT01.pdfFile size 2444 kBChecksum SHA-512
a49cb30cf6f954b6650e90f98fedcac361f1ba684f5c387b2938482e4f80a0d5e6cbef5acd77e49387f8435ddfb375ecf343073a4e5cc161e3f221e34b0a3717
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Kataria, BhartiNilsson Althen, JonasSmedby, ÖrjanPersson, AndersSandborg, Michael
By organisation
Center for Medical Image Science and Visualization (CMIV)Division of Radiological SciencesDepartment of Radiology in LinköpingFaculty of Medicine and Health SciencesDepartment of Radiation PhysicsMedical radiation physics
In the same journal
European Radiology
Radiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
Total: 66 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 123 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf