• DocumentCode
    1903982
  • Title

    Registration of Magnetic Resonance and 3D Ultrasound for Renal Intervention

  • Author

    Chen, Ken ; Li, Zhicheng ; Gu, Jia

  • Author_Institution
    Key Lab. of Health Inf., Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • Volume
    3
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    666
  • Lastpage
    669
  • Abstract
    In this paper, we propose an accurate, robust and swift registration method of magnetic resonance (MR) and 3D ultrasound for percutaneous renal intervention. We refine the traditional ICP algorithm with a pre-registration Procrustes initial alignment to improve the accuracy and efficiency. We propose the orthogonal feature extraction principle to increase the robustness while reducing the human interaction required during the registration. The accuracy, robustness and efficiency performance of the proposed registration method is examined via experiment on real human data.
  • Keywords
    biomedical MRI; biomedical ultrasonics; feature extraction; image registration; medical image processing; ultrasonic imaging; 3D ultrasound imaging; accurate registration method; human interaction; magnetic resonance image registration; orthogonal feature extraction principle; percutaneous renal intervention; pre-registration Procrustes initial alignment; robust registration method; swift registration method; traditional ICP algorithm; Accuracy; Algorithm design and analysis; Iterative closest point algorithm; Kidney; Robustness; Surgery; Three dimensional displays; ICP; Procrustes; multi-modalities; registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.303
  • Filename
    6188261