AIRWC – Accelerated Image Registration with CUDA
This is a project to develop very fast 3D non-linear Medical Image Registration code using GPUs.
The present code uses the NVIDIA CUDA programming language and runs on PC’s equipped with suitable NVIDIA GPU’s.
The current version is AIRWC 5.0 and supports 12 parameter affine transformation and BSpline based non-linear registration with grids of up to 131x131x131 control points (experimentally up to 259x259x259 for SumSQ only).
For typical MRI images of dimensions 240x256x176 affine registration takes a few seconds and full B-Spine registration about 5 minutes using a GTX 285 GPU.
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At present the available cost functions are Normalised Correlation, suitable for intra modality imaging and Normalised Mutual Information and Sum of Squares.
A conference report is here: IEEE MIC 2009 Conference Report