The Fusion of Image and Range Flow
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
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A method for combining datasets from gated cardiac PET acquisitions is described. Optical flow techniques are used to accurately model non-rigid motion present during the cardiac cycle so that a one-to-one mapping is found between each voxel of two gated volumes. Using this map- ping, images can be combined to produce a composite dataset with improved statistics and reduced motion- induced blur. Like recent past efforts in deformable motion, an image similarity measure is combined with elastic constraints to obtain a valid flow field. Addition- ally, because of the noisy characteristics of individual reconstructed volumes in a gated PET study, 4D and mul- tiscale techniques were used in this paper to obtain more accurate motion estimates. Results using data from gated cardiac studies on canine and human subjects are presented.