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Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
- Source :
-
Magnetic Resonance Imaging (0730725X) . Apr2023, Vol. 97, p102-111. 10p. - Publication Year :
- 2023
-
Abstract
- Magnitude-based PDFF (Proton Density Fat Fraction) and R 2 ∗ mapping with resolved water-fat ambiguity is extended to calculate field inhomogeneity (field map) using the phase images. The estimation is formulated in matrix form, resolving the field map in a least-squares sense. PDFF and R 2 ∗ from magnitude fitting may be updated using the estimated field maps. The limits of quantification of our voxel-independent implementation were assessed. Bland-Altman was used to compare PDFF and field maps from our method against a reference complex-based method on 152 UK Biobank subjects (1.5 T Siemens). A separate acquisition (3 T Siemens) presenting field inhomogeneities was also used. The proposed field mapping was accurate beyond double the complex-based limit range. High agreement was obtained between the proposed method and the reference in UK. Robust field mapping was observed at 3 T, for inhomogeneities over 400 Hz including rapid variation across edges. Field mapping following unambiguous magnitude-based water-fat separation was demonstrated in-vivo and showed potential at 3 T. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PROTONS
*FAT
*AMBIGUITY
*DENSITY
Subjects
Details
- Language :
- English
- ISSN :
- 0730725X
- Volume :
- 97
- Database :
- Academic Search Index
- Journal :
- Magnetic Resonance Imaging (0730725X)
- Publication Type :
- Academic Journal
- Accession number :
- 161527183
- Full Text :
- https://doi.org/10.1016/j.mri.2023.01.002