Optimized GPU implementation of learning-based non-rigid multi-modal registration

@inproceedings{Fan2008OptimizedGI,
  title={Optimized GPU implementation of learning-based non-rigid multi-modal registration},
  author={Zhe Fan and Christoph Vetter and Christoph G{\"u}tter and Daphne N. Yu and R{\"u}diger Westermann and Arie E. Kaufman and Chenyang Xu},
  booktitle={Medical Imaging: Image Processing},
  year={2008}
}
Non-rigid multi-modal volume registration is computationally intensive due to its high-dimensional parameter space, where common CPU computation times are several minutes. Medical imaging applications using registration, however, demand ever faster implementations for several purposes: matching the data acquisition speed, providing smooth user interaction and steering for quality control, and performing population registration involving multiple datasets. Current GPUs offer an opportunity… CONTINUE READING

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