• DocumentCode
    3508769
  • Title

    A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI)

  • Author

    Miao, Shun ; Liao, Rui ; Zheng, Yefeng

  • Author_Institution
    Siemens Corp. Res., Princeton, NJ, USA
  • fYear
    2011
  • fDate
    March 30 2011-April 2 2011
  • Firstpage
    1215
  • Lastpage
    1218
  • Abstract
    Minimally invasive trans-catheter aortic valve implantation (TAVI) procedure can be greatly facilitated using smart visualization and guidance technology involving the 3-D model of the aorta. In this paper, a hybrid method is proposed for contrast-based registration between the 3-D model and angiography of the aorta during TAVI procedures. By integrating the information of aorta segmentation and aortic landmark detection into intensity-based registration, the proposed method combines the merits of intensity-based registration and feature/landmark-based registration. In addition, the challenging task of explicit feature/landmark extraction on 2-D images is avoided. Experiments on 9 real clinical data achieved an average registration error of 2.14 ± 0.49 pixels, demonstrating the efficacy of the proposed method.
  • Keywords
    diagnostic radiography; diseases; image registration; medical image processing; physiological models; 2D angiography; 2D imaging; 2D-3D registration; 3D model; 3D-volumes; aorta segmentation; aortic landmark detection; contrast-based registration; hybrid method; intensity-based registration; landmark-based registration; minimally invasive trans-catheter aortic valve implantation; Angiography; Arteries; Feature extraction; Image segmentation; Valves; X-ray imaging; 2-D/3-D Registration; Aortic Valve Implantation; Image-Guided Hybrid-OR Therapy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4127-3
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2011.5872620
  • Filename
    5872620