Seminar

Abstract:
Multimodal 3D/4D image/motion analysis for moving organs such as heart and tongue during the speech play an important role to provide a set of objective parameters to interpret quantitatively the motion and establish quantified comparisons. In this talk, I will present two recent and novel approaches in this area. First, a fully automated multimodalregistration of cardiac CTA with myocardial perfusion SPECT (MPS) will be presented. Geometric features from a reliable segmentation of gated MPS volumes are utilized. The extracted voxels are aligned using a similarity measure with a piecewise constant image model. We then perform limited nonlinear registration of gated MPS to adjust for phase differences by automatic cardiac phase matching between CT and MPS. Second, super-resolution volume reconstruction of tongue MR images is presented. The method uses preprocessing steps that include registration and intensity matching and a data combination approach with the edge-preserving property carried out by Markov random field optimization. The methods had been extensively validated using clinical datasets. Finally, I will briefly introduce and discuss our latest results as well as highlights of previous research.