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Publication Detail
Improving 3D medical image registration CUDA software with genetic programming
  • Publication Type:
  • Authors:
    Langdon WB, Modat M, Petke J, Harman M
  • Publication date:
  • Pagination:
    951, 958
  • Published proceedings:
    GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference
  • ISBN-13:
  • Status:
Genetic Improvement (GI) is shown to optimise, in some cases by more than 35%, a critical component of healthcare industry software across a diverse range of six nVidia graphics processing units (GPUs). GP and other search based software engineering techniques can automatically optimise the current rate limiting CUDA parallel function in the Nifty Reg open source C++ project used to align or register high resolution nuclear magnetic resonance NMRI and other diagnostic NIfTI images. Future Neurosurgery techniques will require hardware acceleration, such as GPGPU, to enable real time comparison of three dimensional in theatre images with earlier patient images and reference data. With millimetre resolution brain scan measurements comprising more than ten million voxels the modified kernel can process in excess of 3 billion active voxels per second. © 2014 is held by the owner/author(s).
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