Accurate inverse-consistent symmetric optical flow for 4D CT lung registration
The classical centre-symmetric local binary pattern is generalised to generate distinctive features. A novel hybrid local binary pattern is proposed. A novel method based on Lucas-Kanade algorithm and the novel hybrid pattern is proposed. The proposed method is inverse-consistent. The proposed method yields the most accurate results of all the unmasked methods tested on the 4D CT datasets from the DIR-lab.
optical flow 4d ct local binary pattern deformable image registration