Cardiac Motion Estimation from Tagged MRI Using 3D-HARP and NURBS Volumetric Model

  • Jia Liang
  • Yuanquan Wang
  • Yunde Jia
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4843)


Concerning analysis of tagged cardiac MR images, harmonic phase (HARP) is a promising technique with the largest potential for clinical use in terms of rapidity and automation without tags detection and tracking. However, it is usually applied to 2D images and only provides “apparent motion” information. In this paper, HARP is integrated with a nonuniform rational B-spline (NURBS) volumetric model to densely reconstruct 3D motion of left ventricle (LV). The NURBS model represents anatomy of LV compactly, and displacement information that HARP provides within short-axis and long-axis images drives the model to deform. After estimating the motion at each phase, we smooth the NURBS models temporally to achieve a 4D continuous time-varying representation of LV motion. Experimental results on in vivo data show that the proposed strategy could estimate 3D motion of LV rapidly and effectively benefiting from both HARP and NURBS model.


Tagged MRI LV motion estimation HARP NURBS model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Jia Liang
    • 1
  • Yuanquan Wang
    • 2
  • Yunde Jia
    • 1
  1. 1.School of Computer Science&Technology, Beijing Institute of Technology, Beijing 100081P.R. China
  2. 2.School of Computer Science, Tianjin University of Technology, Tianjin 300191P.R. China

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