• DocumentCode
    674517
  • Title

    Registration and fusion of contrast-enhanced MRI myocardial substrate maps and X-ray angiograms

  • Author

    Ortuno, J.E. ; Perez-David, Esther ; Arenal, Angel ; Bermejo, Javier ; Santos, Aldri ; Ledesma-Carbayo, Maria J.

  • Author_Institution
    CIBER-BBN, Madrid, Spain
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    563
  • Lastpage
    566
  • Abstract
    The aim of this work is to provide the necessary methods to register and fuse the endo-epicardial signal intensity (SI) maps extracted from contrast-enhanced magnetic resonance imaging (ceMRl) with X-ray coronary angiograms using an intrinsic registration-based algorithm to help pre-planning and guidance of catheterization procedures. Fusion of angiograms with SI maps was treated as a 2D-3D pose estimation, where each image point is projected to a Plucker line, and the screw representation for rigid motions is minimized using a gradient descent method The resultant transformation is applied to the SI map that is then projected and fused on each angiogram. The proposed method was tested in clinical datasets from 6 patients with prior myocardial infarction. The registration procedure is optionally combined with an iterative closest point algorithm (ICP) that aligns the ventricular contours segmented from two ventriculograms.
  • Keywords
    angiocardiography; biomedical MRI; cardiology; diagnostic radiography; gradient methods; image enhancement; image fusion; image registration; image segmentation; iterative methods; medical disorders; medical image processing; pose estimation; 2D-3D pose estimation; Plucker line; X-ray coronary angiograms; catheterization; contrast-enhanced MRI myocardial substrate maps; endoepicardial signal intensity maps; gradient descent method; image fusion; image registration; iterative closest point algorithm; magnetic resonance imaging; myocardial infarction; screw representation; ventricular contour segmentation; ventriculograms; Abstracts; Cameras; Fasteners; Magnetic resonance imaging; Myocardium; Visualization; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2013
  • Conference_Location
    Zaragoza
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-0884-4
  • Type

    conf

  • Filename
    6713439