Registration and Analysis of Vascular Images
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Learning from only positive and unlabeled data to detect lesions in vascular CT images
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
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This work introduces a 3D+t coronary registration strategy to minimize the navigation among cardiac phases during the process of ischaemic heart disease diagnosis. We propose to register image sub-volumes containing suspected arterial lesions at two cardiac phases, instead of performing a registration of the complete cardiac volume through the whole cardiac cycle. The method first automatically defines the extent of the sub-volumes to be aligned, then the registration is performed in two steps: a coarse rigid alignment and a deformable registration. Our method provides comparable results and is computationally less expensive than previous approaches that make use of larger spatial and temporal information.