Research Article

A Registration Method Based on Contour Point Cloud for 3D Whole-Body PET and CT Images

Table 2

The comparisons of two similarity metrics on 13 pairs of PET and CT data.

IDMethodology
Source data The proposed methodMR + GD + MMI
NCEDNCEDNCED

1−0.5027923.6101−0.952321.87713−0.901443.92457
2−0.4801330.0264−0.959061.77737−0.5684819.6972
3−0.5266822.2486−0.873226.35008−0.7301113.1091
4−0.5068323.8465−0.950172.02653−0.2490752.8046
5−0.4986528.7776−0.912584.09511−0.5715813.3536
6−0.4963625.7057−0.937762.5987−0.696987.43801
7−0.4782226.9906−0.922103.01465−0.5248416.4022
8−0.4863226.5894−0.938502.53644−0.5107314.3721
9−0.4878727.2716−0.943172.16966−0.6122119.2727
10−0.4957623.6947−0.907993.37168−0.4608915.2446
11−0.4933026.1713−0.943172.34775−0.5230618.9303
12−0.4917626.4674−0.944902.22978−0.898654.13041
13−0.5010624.6159−0.942652.34491−0.7370410.4277

Average−0.4958325.8474−0.932892.82614−0.6142416.08516

Standard deviation0.012552.20900.023411.237750.17947312.23811