Figure 3.

Flowchart of our proposed method. This method has three components: 1. dictionary learning: learning multi-modal dictionaries for both training images from different modalities; 2. sparse coding: computing sparse coefficients for the learned dictionaries to reconstruct the source image while at the same time using the same coefficients to transfer the source image to another modality; 3. registration: registering both transferred source image and target image.