Abstract
Interpolation of medical slice images is an important procedure in 3D reconstruction. To overcome the shortcomings, which are brought by current algorithms, such as blur of objects' boundary, high cost-time etc, this paper proposes a novel adaptive image interpolation algorithm that is suitable to medical image processing. This algorithm makes good use of characteristics of anatomical structures and voxel relativity and uses the following strategies: firstly to judge whether the interpolated point belongs to ROI (Region Of Interest), then to get the best point-pair according to comparability principle of surface. The experimental results show that the novel method enables new images to better accord with the practical demand not only in gray but anatomical structures as well. Moreover, this algorithm is much better than the current algorithms of this kind in time costing. Therefore, our algorithm is more suitable to volume rendering which is one method of 3D reconstruction.