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Discussion

The experiments presented in this paper were designed to test the validity of the new inverse transformation consistency constraint as applied to a linear-elastic transformation algorithm. As such, there was no effort made to optimize the rate of convergence of the algorithm. The convergence rate of the algorithm can be greatly improved by using a more efficient optimization technique than gradient descent such as conjugate gradient at each parameterization resolution. In addition, a convergence criteria can be used to determine when to increment the number of parameters in the model. The CT data used in the experiments was selected to stress the registration algorithm. The convergence of the algorithm would have been much faster if the data sets were adjusted for global scale initially.

Subsections

Xiujuan Geng 2002-07-04