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- W2016608409 abstract "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 and a global search over the transformation (translation and rotation) space can be carried out effectively. A fast optimization algorithm to minimize the Lipschitzized cost function is described. We conducted a series of experiments to test and validate the 3-D registration method. Both synthetic realistic MR data and clinical data were used to systematically test and evaluate registration accuracy." @default.
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- W2016608409 date "2014-05-01" @default.
- W2016608409 modified "2023-09-28" @default.
- W2016608409 title "Global optimization based registration technique for tracking knee cartilage thickness changes in MR images" @default.
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- W2016608409 doi "https://doi.org/10.1109/pic.2014.6972286" @default.
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