Digitala Vetenskapliga Arkivet

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
Consistent intensity inhomogeneity correction in water–fat MRI
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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). Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-6422-9520
Show others and affiliations
2015 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 42, no 2, p. 468-476Article in journal (Refereed) Published
Abstract [en]

PURPOSE:

To quantitatively and qualitatively evaluate the water-signal performance of the consistent intensity inhomogeneity correction (CIIC) method to correct for intensity inhomogeneities METHODS: Water-fat volumes were acquired using 1.5 Tesla (T) and 3.0T symmetrically sampled 2-point Dixon three-dimensional MRI. Two datasets: (i) 10 muscle tissue regions of interest (ROIs) from 10 subjects acquired with both 1.5T and 3.0T whole-body MRI. (ii) Seven liver tissue ROIs from 36 patients imaged using 1.5T MRI at six time points after Gd-EOB-DTPA injection. The performance of CIIC was evaluated quantitatively by analyzing its impact on the dispersion and bias of the water image ROI intensities, and qualitatively using side-by-side image comparisons.

RESULTS:

CIIC significantly ( P1.5T≤2.3×10-4,P3.0T≤1.0×10-6) decreased the nonphysiological intensity variance while preserving the average intensity levels. The side-by-side comparisons showed improved intensity consistency ( Pint⁡≤10-6) while not introducing artifacts ( Part=0.024) nor changed appearances ( Papp≤10-6).

CONCLUSION:

CIIC improves the spatiotemporal intensity consistency in regions of a homogenous tissue type. J. Magn. Reson. Imaging 2014.

Place, publisher, year, edition, pages
John Wiley & Sons, 2015. Vol. 42, no 2, p. 468-476
Keywords [en]
water–fat imaging;Dixon imaging;inhomogeneity correction;intensity correction;water;fat quantification
National Category
Medical Image Processing Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-112129DOI: 10.1002/jmri.24778ISI: 000358258600026PubMedID: 25355066OAI: oai:DiVA.org:liu-112129DiVA, id: diva2:763667
Note

Funding:

Financial support from the Swedish Research Council (VR/M 2007-2884), the Research Council of Southeast Sweden (FORSS 12621), Linkoping University, Lions Research Foundation in Linkoping, Linkoping University Hospital Research Foundations and the County Council of Ostergotland is gratefully acknowledged.

Available from: 2014-11-16 Created: 2014-11-16 Last updated: 2020-08-14

Open Access in DiVA

fulltext(1178 kB)985 downloads
File information
File name FULLTEXT01.pdfFile size 1178 kBChecksum SHA-512
3aa21f434fb732f70fc81a39c52f8957dfba8b9168afaa3b18099ec3b2475e50d9c50425636cfd7783d5a500d805a50f10316e121fb909225fcbe2c5ee4d1dcd
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Andersson, ThordRomu, ThobiasKarlsson, AnetteNorén, BengtForsgren, MikaelSmedby, ÖrjanKechagias, StergiosAlmer, SvenLundberg, PeterBorga, MagnusDahlqvist Leinhard, Olof
By organisation
Medical InformaticsFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)The Institute of TechnologyDivision of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiology in LinköpingDepartment of Radiation PhysicsDivision of Cardiovascular MedicineDepartment of GastroentorologyDivision of Neuro and Inflammation Science
In the same journal
Journal of Magnetic Resonance Imaging
Medical Image ProcessingRadiology, Nuclear Medicine and Medical Imaging

Search outside of DiVA

GoogleGoogle Scholar
Total: 988 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: 2435 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