Jeffrey Fitzsimmons

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Image registration is a very important problem in computer vision and medical image processing. Numerous algorithms for registering single and multi-modal image data have been reported in these areas. Robustness as well as computational efficiency are prime factors of importance in image data registration. In this paper, a robust/reliable and efficient(More)
The advent of large RF coil arrays, multi-channel receivers, and other specialized image acquisition techniques offer considerable gains in SNR, however, these applications in combination with higher field strength 3.0 T magnets introduce several challenges. In addition to higher cost, the 3.0 T requires more training and maintenance, but these obstacles(More)
Image registration is a very important problem in medical image processing. In this paper, a hierarchical optical ow motion model is used to solve the registration problem. We develop a novel numerical algorithm to achieve robust and eecient 3D/2D image registration. Motion estimation examples on synthetic & real data with performance comparison to(More)
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