Research Article

Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms

Table 1

Accuracy of the registration algorithm applied to the synthetic (a) and real (b) datasets. When the real dataset is considered, the results of the manual registration are also shown. The manual registration has been performed by an expert operator blinded to the results of the automatic registration and used as reference for the error computation.

tx(mm)ty (mm)ty (mm) 𝑟 𝑥 (°)ry  (°)rz (°)

(a) Synthetic
AutomaticMean Error0.0830.0540.0370.1170.2860.201
standard deviation (SD)0.1080.0890.0970.2150.27180.397
(b) Real
Manual −25.61 18.51 −4.9 −9.45 0.86 −2.01
AutomaticMean error −25.89 18.485 −5.157 −9.59 0.89 −2.29
standard deviation (SD) 0.238 0.146 0 . 2 3 6 0.825