Automatic Delineation of Left and Right Ventricles in Cardiac MRI Sequences Using a Joint Ventricular Model

  • Xiaoguang Lu
  • Yang Wang
  • Bogdan Georgescu
  • Arne Littman
  • Dorin Comaniciu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6666)


Cardiac magnetic resonance imaging (MRI) has advanced to become a powerful tool in clinical practice. Extraction of morphological and functional features from cardiac MR imaging for diagnosis and disease monitoring remains a time-consuming task for clinicians. We present a fully automatic approach to extracting the structures and dynamics for both left and right ventricles. The cine short-axis stack of a cardiac MR scan is used to reconstruct a 3D volume sequence. A joint LV-RV model is introduced to delineate the boundaries of both left and right ventricles in each frame, and to combine both spatial and temporal context to track the chamber boundary motion over cardiac cycles. Both qualitative and quantitative results show promise of the proposed method.


Right Ventricle Cardiac Magnetic Resonance Imaging Boundary Detection Right Ventricle Function Neighboring Frame 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xiaoguang Lu
    • 1
  • Yang Wang
    • 1
  • Bogdan Georgescu
    • 1
  • Arne Littman
    • 2
  • Dorin Comaniciu
    • 1
  1. 1.Siemens Corporate ResearchPrincetonUSA
  2. 2.Magnetic Resonance, Siemens HealthcareErlangenGermany

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