A local structure orientation descriptor for multimodal registration is proposed.
Intra-image similarity is used to describe local structure in high dimensional space.
Normalized similarity distance vector is derived to extract structure orientation.
The method shows credible performance to register liver US and MR images.
It is useful for improve the clinical practicability of US fusion imaging.