Docteur de l'université Automatic Segmentation and Shape Analysis ...

120 Chapter 5 Quantitative shape analysis of hippocampus in AD
Table 5.1: Demographic information of subjects used in the study.
Diagnosis Number (M/F) Age Yeas of education
Training set
Testing set
Total
NC 34/26 77.0(4.8) 16.3(2.7)
AD 31/29 75.2(6.7) 14.7(3.0)
NC 35/43 76.3(5.2) 15.4(3.1)
AD 20/19 77.8(7.3) 14.4(3.7)
NC 69/69 76.6(5.0) 15.8(2.9)
AD 51/48 76.2(7.0) 14.6(3.3)
hippocampal shapes in different ways. The combinations of alignment in the
SSMs are listed in Table 5.2.
Table 5.2: Choices of alignment in SSMs
Procrustes alignment II
in shape modeling
MR
MS
Procrustes alignment I LR 1 2
in localization LS 3 4
1. In the localization step, the significance maps are produced from rigidly
aligned size-and-shape set LR, and in the shape modeling step the subregional
SSM is built on rigidly aligned the size-and-shape set MR;
2. in the localization step, the significance maps are produced from rigidly
aligned size-and-shape set LR, and in the shape modeling step the subregional
SSM is built on similarity aligned the shape set MS;
3. in the localization step, the significance maps are produced from similarity
aligned shape set LS, and in the shape modeling step the subregional SSM
is built on rigidly aligned the size-and-shape set MR;
4. in the localization step, the significance maps are produced from similarity
aligned shape set LS, and in the shape modeling step the subregional SSM
is built on similarity aligned the shape set MS.
In the experiments, the hippocampi on both the right and the left hand sides of
60 NC and 60 AD subjects from ADNI data were used as a training set to build
the SSM. Hotelling’s T 2 test was performed on each SSM between the AD and
NC groups, with the resulting significance maps shown in Figure 5.2. The results
after the thresholding are shown in Figure 5.3.