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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.
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2015 (English)In: Journal of Magnetic Resonance Imaging, ISSN 1053-1807, E-ISSN 1522-2586, Vol. 42, no 2, 468-476 p.Article 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, 468-476 p.
Keyword [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: 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: 2017-12-05

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Andersson, ThordRomu, ThobiasKarlsson, AnetteNorén, BengtForsgren, MikaelSmedby, ÖrjanKechagias, StergiosAlmer, SvenLundberg, PeterBorga, MagnusDahlqvist Leinhard, Olof

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Andersson, ThordRomu, ThobiasKarlsson, AnetteNorén, BengtForsgren, MikaelSmedby, ÖrjanKechagias, StergiosAlmer, SvenLundberg, PeterBorga, MagnusDahlqvist Leinhard, Olof
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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
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Journal of Magnetic Resonance Imaging
Medical Image ProcessingRadiology, Nuclear Medicine and Medical Imaging

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