Spatial Mutual Information as Similarity Measure for 3-D Brain Image Registration.
| Publication Type | Academic Article |
| Authors | Razlighi Q, Kehtarnavaz N |
| Journal | IEEE J Transl Eng Health Med |
| Volume | 2 |
| Date Published | 01/09/2014 |
| ISSN | 2168-2372 |
| Abstract | Information theoretic-based similarity measures, in particular mutual information, are widely used for intermodal/intersubject 3-D brain image registration. However, conventional mutual information does not consider spatial dependency between adjacent voxels in images, thus reducing its efficacy as a similarity measure in image registration. This paper first presents a review of the existing attempts to incorporate spatial dependency into the computation of mutual information (MI). Then, a recently introduced spatially dependent similarity measure, named spatial MI, is extended to 3-D brain image registration. This extension also eliminates its artifact for translational misregistration. Finally, the effectiveness of the proposed 3-D spatial MI as a similarity measure is compared with three existing MI measures by applying controlled levels of noise degradation to 3-D simulated brain images. |
| DOI | 10.1109/JTEHM.2014.2299280 |
| PubMed ID | 24851197 |
| PubMed Central ID | PMC4025931 |