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Multimodal Image Registration through Simultaneous Segmentation

Citation Author(s):
Iman Aganj, Bruce Fischl
Submitted by:
Iman Aganj
Last updated:
4 October 2018 - 10:23am
Document Type:
Poster
Document Year:
2018
Event:
Presenters:
Iman Aganj
Paper Code:
3329
 

Multimodal 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 work, 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 multi-contrast brain magnetic resonance images, and demonstrate an often higher registration accuracy in the results produced by the proposed technique, compared to those by several existing methods.

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