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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: MAGMA. 2015 Sep 4;29(2):259–276. doi: 10.1007/s10334-015-0498-z

Table 2.

Select recent references, in chronological order, on adipose tissue segmentation and quantification in animal studies

References Remarks
Fowler et al. [58] Manual segmentation, lean versus obese pigs, T1-weighted 0.04 T multi-slice MRI, validation with post-mortem carcass chemical analysis
Mitchell et al. [59] Manual segmentation, pig, T1- and T2-weighted 1.5 and 4.7 T multi-slice MRI, validation with post-mortem carcass chemical analysis
Ranefall et al. [60] Automated segmentation based on histogram and region-growing schemes, mice, T1- and T2-weighted 9.4 T 3D MRI
Luu et al. [61] Semi-automated segmentation, mice, microCT, cross-sectional study, in silico validation
Johnson et al. [62] Semi-automated fat fraction-based segmentation, mice, chemical-shift encoded water–fat 7 T multi-slice MRI, cross-sectional study, in vitro validation
Johnson et al. [63]
Tang et al. [64] Automated segmentation based on adaptive fuzzy C-means method, T1-weighted 7 T multi-slice MRI, cross-sectional study
Sasser et al. [65] Semi-automated segmentation, mice, CT, cross-sectional study
Garteiser et al. [66] Semi-automated histogram-based segmentation, mice, water-suppressed 7 T multi-slice MRI, cross-sectional study, correlation with DXA
Gifford et al. [67] Semi-automated fat fraction-based segmentation, dog, chemical-shift encoded water–fat 3 T multi-slice MRI, longitudinal study, correlation with scale weight