A Hybrid Nonrigid Medical Image Registration Method on Chest Radiography

Accurate non-rigid registration of chest radiographs facilitates image diagnosis and occupies an important position in medical image analysis. In this paper, we proposed a non-rigid registration framework that combines the advantages of B-spline FFD (free form deformation) and inertial demons. The proposed method applied B-spline FFD to match structures in the lung area and prevent lesion being destroyed; at the same time, the inertial demons model is used to refine the detail of results observed by FFD. Temporal subtraction images created from the chest radiography image pairs are given to demonstrate the registration accuracy. Multiple experiments on clinical data have shown that the proposed algorithm is more accurate in chest radiographs registration than the widely used B-spline FFD and demons algorithm alone.