• DocumentCode
    2584021
  • Title

    MRI-based attenuation correction and medical image registration on GPU

  • Author

    Cheng, Wei-Hung ; Liu, Yufan ; Lu, Cheng-Chang

  • Author_Institution
    Comput. Sci. Dept., Kent State Univ., Kent, OH, USA
  • Volume
    1
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    395
  • Lastpage
    398
  • Abstract
    In this paper, we propose to implement mutual information algorithms with functional data-parallelism to speed up the medical image registration process. Experimental results showed that the GPU implementation improves the registration computational performance with a speedup factor of 18.36×. Additional speedup can be achieved with diligent data profiling. In addition, we suggest the use of the proposed implementation in attenuation correction of MRI/PET image pairs.
  • Keywords
    biomedical MRI; coprocessors; image registration; medical image processing; parallel processing; positron emission tomography; GPU; MRI based attenuation correction; MRI-PET image pairs; data profiling; functional data parallelism; medical image registration; mutual information algorithms; Graphics processing unit; Image registration; Interpolation; Medical diagnostic imaging; Mutual information; Positron emission tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9351-7
  • Type

    conf

  • DOI
    10.1109/BMEI.2011.6098333
  • Filename
    6098333
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2584021