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- W1990339036 abstract "A novel automatic registration algorithm for the alignment of medical imaging data was developed. The algorithm measures alignment by comparison of dense feature sets (tissue labels) and optimum alignment is found by minimizing the mismatch of tissue segmentations. A parallel implementation that distributes resampling and comparison operations across a cluster of symmetric multiprocessors achieves execution times in a clinically compatible range (5–10 min). Each node executes a parallelized resample and compare operation implemented with POSIX threads, and work is dynamically load balanced across the cluster with communication implemented with MPI. The quality of the registration algorithm and the performance characteristics of the parallel implementation were investigated for typical registration problems. The algorithm has been used to successfully achieve intrapatient and interpatient registration of tissue segmentations without any manual intervention for over three hundred scans of the brain." @default.
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- W1990339036 date "1998-09-01" @default.
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- W1990339036 title "A high performance computing approach to the registration of medical imaging data" @default.
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- W1990339036 doi "https://doi.org/10.1016/s0167-8191(98)00061-1" @default.
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