Deformable registration of high-resolution and cine MR tongue images

Authors:
Jonghye Woo;Maureen Stone;Jerry L. Prince
Affiliations:
Department of Neural and Pain Science, University of Maryland Dental School, Baltimore MD and Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD;Department of Neural and Pain Science, University of Maryland Dental School, Baltimore MD;Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore MD
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Year:
2011

Citing 2
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Abstract

This work investigates a novel 3D multimodal deformable registration method to align high-resolution magnetic resonance imaging (MRI) with cine MRI of the tongue for better visual and motion analysis. Both modalities have different strengths to characterize and analyze the tongue structure or motion. Visual and motion analysis of combined anatomical and temporal information can synergistically improve the utility of each modality. An automated multimodal registration method is presented utilizing structural information computed from the 3D Harris operator to encode spatial and geometric cues into the computation of mutual information. The robustness and accuracy of the proposed method have been demonstrated using experiments on clinical datasets and yielded better performance compared to the conventional method and an average error comparable to the inter-observer variability.