3D-2D Deformable Image Registration Using Feature-Based Nonuniform Meshes

Table 5

Comparison of three meshes on the data of five head and neck cancer patients.

Patients	Uniform orthogonal grid	Uniform tetrahedron mesh	Nonuniform tetrahedron mesh
H&N01
Number of vertices	936	992	1,007
NCC	0.8327	0.8358	0.8460
NRMSE	0.4988	0.4938	0.4792
H&N02
Number of vertices	1,040	990	1,000
NCC	0.9036	0.9122	0.9134
NRMSE	0.4182	0.4116	0.4084
H&N03
Number of vertices	980	1,000	998
NCC	0.8470	0.8471	0.8482
NRMSE	0.4748	0.4743	0.4722
H&N04
Number of vertices	1,001	1,000	1,000
NCC	0.7756	0.7806	0.8111
NRMSE	0.5841	0.5817	0.5567
H&N05
Number of vertices	980	1,000	995
NCC	0.7565	0.7690	0.7843
NRMSE	0.6278	0.6092	0.5712

Note. The three mesh-based methods are run through 50 iterations.