A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-Rigid Matching Using Demons
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Image registration by local histogram matching
Pattern Recognition
Incorporating DTI data as a constraint in deformation tensor morphometry between T1 MR Images
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Multivariate normalization with symmetric diffeomorphisms for multivariate studies
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A wavelet-based algorithm for multimodal medical image fusion
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
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This paper proposes a novel multimodal image registration method which can fully utilize the multimodal information and result in a more accurate unified deformation field. Different from the existing methods which fuse the information at the image/intensity level, the proposed method fuses the multimodal information at the feature level through Gabor wavelets transformation. At this level, complementary and redundant information is distinguished reliably and efficiently, and then combined and removed respectively. Experiments on both simulated and real T1+DTI image sets illustrate that the proposed method can effectively incorporate better characterization for white matter (WM) from the DTI and for gray matter (GM) from the T1 image and lead to a more accurate and efficient multimodal image registration which paves the way for the subsequent multimodal population-based studies.