Improving 3D Medical Image Registration CUDA Software with Genetic Programming

Genetic Improvement (GI) is shown to optimise, in some cases by more than 35%, a critical component of health-care industry software across a diverse range of six nVidia graphics processing units (GPUs). GP and other search based software engineering techniques can automatically op-timise the current rate limiting CUDA parallel function in the Nifty Reg open source C++ project used to align or reg-ister high resolution nuclear magnetic resonance NMRI and other diagnostic NIfTI images. Future Neurosurgery tech-niques will require hardware acceleration, such as GPGPU, to enable real time comparison of three dimensional in the-atre images with earlier patient images and reference data. With millimetre resolution brain scan measurements com-prising more than ten million voxels the modified kernel can process in excess of 3 billion active voxels per second