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On The Real-Time Performance, Robustness And Accuracy Of Medical Image Non-Rigid Registration, Yixun Liu
On The Real-Time Performance, Robustness And Accuracy Of Medical Image Non-Rigid Registration, Yixun Liu
Dissertations, Theses, and Masters Projects
Three critical issues about medical image non-rigid registration are performance, robustness and accuracy. A registration method, which is capable of responding timely with an accurate alignment, robust against the variation of the image intensity and the missing data, is desirable for its clinical use. This work addresses all three of these issues. Unacceptable execution time of Non-rigid registration (NRR) often presents a major obstacle to its routine clinical use. We present a hybrid data partitioning method to parallelize a NRR method on a cooperative architecture, which enables us to get closer to the goal: accelerating using architecture rather than designing …