Multimodal Image Registration Through Simultaneous Segmentation
Multimodal Image Registration Through Simultaneous Segmentation.pdf (491.7Kb)
Access StatusFull text of the requested work is not available in DASH at this time ("restricted access"). For more information on restricted deposits, see our FAQ.
MetadataShow full item record
CitationAganj, Iman, and Bruce Fischl. "Multimodal Image Registration Through Simultaneous Segmentation." IEEE Signal Processing Letters 24, no. 11 (2017): 1661-665.
AbstractMultimodal image registration facilitates the combination of complementary information from images acquired with different modalities. Most existing methods require computation of the joint histogram of the images, while some perform joint segmentation and registration in alternate iterations. In this letter, we introduce a new non-information theoretical method for pairwise multimodal image registration, in which the error of segmentation—using both images—is considered as the registration cost function. We empirically evaluate our method via rigid registration of multicontrast brain images, and demonstrate an often higher registration accuracy in the results produced by the proposed technique, compared to those by several existing methods.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:42183990
- HMS Scholarly Articles