CUDA-based acceleration and algorithm refinement for volume image registration

Shifu Chen, Jing Qin, Yongming Xie, Wai Man Pang, Pheng Ann Heng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)


In this paper, we propose a GPU-based acceleration method to speed up volume image registration using Compute Unified Device Architecture(CUDA). A novel CUDA-based method for joint histogram computation is introduced in this paper, which is also valuable for 2D image registration and other general graphics applications. Additionally, an algorithm refinement is proposed to improve the widely used FMRIB's Linear Image Registration Tool (FLIRT). Although extra time is taken by applying that algorithm refinement, our implementation showed the ability to perform a full 12 DOF (Degrees of Freedom) registration of two brain volume images in nearly 35 seconds, which is about 10 times faster than the native FLIRT implementation.
Original languageEnglish
Title of host publicationFBIE 2009 - 2009 International Conference on Future BioMedical Information Engineering
Number of pages4
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event2009 International Conference on Future BioMedical Information Engineering, FBIE 2009 - Sanya, China
Duration: 13 Dec 200914 Dec 2009


Conference2009 International Conference on Future BioMedical Information Engineering, FBIE 2009


  • CUDA
  • GPU
  • Image registration

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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