Nonrigid medical image registration with locally linear reconstruction

Nonrigid image registration plays an important role in medical imaging systems. In complex circumstances, it is still a challenging task, especially when input images are corrupted by the spatially-varying intensity distortion. To address this difficulty, we propose a novel locally linear reconstruction based dissimilarity measurement (LLR). The core idea behind the LLR is that in each local region, the aligned floating image is linearly reconstructed by the reference image. Due to LLR, we present a multi-resolution nonrigid image registration algorithm. Extensive experiments on various simulated and real medical images have demonstrated that our algorithm outperforms the state-of-the-art approaches in registration accuracy.