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Registration methods have become an important tool in many medical applications. Existing methods require a good initial estimation (transformation) in order to find a global solution, i.e., if the initial estimation is far from the actual solution, incorrect solution or mismatching is very likely. In contrast, this paper presents a novel approach for globally solving the three dimensional (3D) rigid...
The objective of this work is to develop and validate a computational method for fast and globally solving the registration problem of the three-dimensional (3-D) bone surface from MR images of knee joint. This technique is used to monitor the local cartilage thickness changes over time. By introducing a "Lipschitzation" process to the traditional cost function, global optimality is guaranteed...
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