Proposed is a robust algorithm for scaling registration of point sets, in the way of introducing the bidirectional distance measurement into the least square problem, which is solved in the way the iterative closest point algorithm does by iterations. At each iterative step of this algorithm, bidirectional correspondence is set up between two m-dimensional point sets, and then a simple and fast iterative algorithm is used to compute the rotation, scale and translation transformations. Experimental results demonstrate its robustness and high accuracy over previous algorithms.
In patients with p16-positive N2b oropharynx cancer, the value of replanning RT is a small improvement in target coverage with minimal improvement in normal tissue sparing. In response to our study, some of the physicians in our group replan most node-positive oropharyngeal cancer cases while others think routine replanning is not valuable.
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