Improving the Convergence and Computational Efficiency of Deformable Image Registration Calculation by Incorporating Prior Knowledge
نویسندگان
چکیده
Purpose/Objective(s): Conventional deformable registration treats all image volume equally and the calculations are “brute-force” in nature. In reality, some regions can be mapped between the moving and fixed images with higher confidence than others. In this work we investigate a strategy of using a priori knowledge of the system to reduce the dimensionality of the deformable image registration problem and to speed up the registration calculation.
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