Atlas Construction via Dictionary Learning and Group Sparsity

Explore this paper's citation graph

Summary

Experimental results demonstrate that the proposed patch-based sparse representation method can enhance the quality of built atlas by discovering more anatomical details especially in cortical regions, and perform better in a neonatal data normalization application, compared to other existing start-of-the-art nonlinear neonatal brain atlases.

Type
article
Published
2012-10-01
Cited by
9
References
12
Access
Open access

Keywords

Atlas (anatomy), Computer science, Spatial normalization, Artificial intelligence, Normalization (sociology)

References

Cited by

Related papers