Figure 1.
The overall flowchart describing the different stages and processing steps involved in segmentation and quantification of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT).
Figure 2.
Different steps involved in deriving the initial contour for the hybrid geodesic region based curve evolution method.
a) Filtered image, b) binary mask derived from the filtered image, c) edge map of the binary mask and d) placement of the initial contour after shrinking.
Figure 3.
Top trace - VAT segmentation stages – a) VAT region separated by the active contour b) clustered VAT image and c) final segmentation results of VAT.
Bottom trace - SAT segmentation stages – a) SAT region separated by the active contour and the clustered SAT image b) mask of the skin and the abdominal wall and c) final segmentation results of SAT.
Figure 4.
The graphs show the amount of SAT in grams for different groups (top trace) and for VAT (bottom trace) calculated using the proposed segmentation method.
Figure 5.
The percentage change in SAT and VAT between pre- and post-intervention scan for different groups calculated using the proposed segmentation method.
Table 1.
Quantification of SAT and VAT in pre-scan, post-scan and percentage of change between pre- and post-scan.
Figure 6.
Comparitive plots of MR and fat pad based quantification of SAT and VAT for Ex and CR groups with respect to control group.
The graphs indicate the percentage change in SAT and VAT in Ex and CR groups by both the methods.
Figure 7.
Changes in SAT and VAT in clone, bed-out and bed-in and animal change scans.
Figure 8.
Error analysis comparing the results of quantification of SAT and VAT based on FSE (with and without water suppression) and DIXON sequences.
Table 2.
Correlation analysis of SAT, VAT quantification using FSE (with and without water suppression), and DIXON imaging sequences.