Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging

Table 2

Quantitative comparison of the stated similarities and resolution for the image-to-image strategies taken from the literature discussed.

Author	Matching criteria	Stated similarity	3D resolution (per pixel)	Relative accuracy
Xiao et al. [10]	Intensity	L1-norm	270 µm	—
Nagara et al. [49]	Feature	Dice index, Jaccard index, recall, and NCC	Dataset 1 : 49 µm, dataset 2 : 52 µm	—
Groen et al. [51]	Intensity	600 µm (best value used)	18 µm	0.03
Katsamenis et al. [64]	Landmark	—	8.84 µm	—
Seise et al. [52]	Intensity/landmark	500 µm (worst value used)	400 µm	0.8
Albers et al. [5]	Intensity	Displacement index	2.33 µm	—
Magee et al. [58]	Intensity	200 µm	50 µm	0.25