Consistent intensity inhomogeneity correction in water–fat MRIShow 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.
2014-11-162014-11-162020-08-14