In this paper we propose a novel image registration method for dual-energy subtraction radiography. The body motions
by heartbeat, breathing and patient's movement during two exposures cause misregistration artifacts on a subtracted
image. One conventional method can accurately compensate many varieties of motions from large to small using multi-resolution
technique. This approach, however, does not consider motion directions of overlapped structures and thus
causes misregistration around the heart where pulmonary blood vessels overlap with the heart since they have different
motion directions. Therefore, we propose a new image registration method in order to solve this problem. Our new
method has a registration process that detects the directions of the motions for each structure size, and a merging process
that integrates the deformed results of each structure size. To verify the effectivity of the proposed method, we evaluate
the image quality of each anatomical structure of 31 chest energy subtraction images. As a result, the proposed method
has proven to be more effective in reducing misregistration artifacts of the heart, pulmonary blood vessels and ribs than
the conventional method. Reducing these misregistration artifacts would contribute to improve diagnostic performance
of energy subtraction images.
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