GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications

Currently, non-rigid image registration algorithms are too computationally intensive to use in time-critical applications. Existing implementations that focus on speed typically address this by either parallelization on GPU-hardware, or by introducing methodically novel techniques into CPU-oriented algorithms. Stochastic gradient descent (SGD...

GPU based image registration

Currently, non-rigid image registration algorithms are too time intensive to use in time-critical applications. To solve this problem, stochastic gradient descent (SGD) has been implemented in image registration. But, SGD depends on manual step size selection which is dicult and time consuming. To avoid such manual selection, SGD has been...