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Geometric modeling and motion analysis of the epicardial surface of the heart

Author

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  • Quatember, Bernhard
  • Mayr, Martin
  • Recheis, Wolfgang
  • Demertzis, Stefanos
  • Allasia, Giampietro
  • De Rossi, Alessandra
  • Cavoretto, Roberto
  • Venturino, Ezio

Abstract

Pathological processes cause abnormal regional motions of the heart. Regional wall motion analyses are important to evaluate the success of therapy, especially of cell therapy, since the recovery of the heart in cell therapy proceeds slowly and results in only small changes of ventricular wall motility. The usual ultrasound imaging of heart motion is too inaccurate to be considered as an appropriate method. MRI studies are more accurate, but insufficient to reliably detect small changes in regional ventricular wall motility. We thus aim at a more accurate method of motion analysis. Our approach is based on two imaging modalities, viz. cardiac CT and biplane cineangiography. The epicardial surface represented in the CT data set at the end of the diastole is registered to the three-dimensionally reconstructed epicardial artery tree from the angiograms in end-diastolic position. The motion tracking procedures are carried out by applying thin-plate spline transformations between the epicardial artery trees belonging to consecutive frames of our cineangiographic imagery.

Suggested Citation

  • Quatember, Bernhard & Mayr, Martin & Recheis, Wolfgang & Demertzis, Stefanos & Allasia, Giampietro & De Rossi, Alessandra & Cavoretto, Roberto & Venturino, Ezio, 2010. "Geometric modeling and motion analysis of the epicardial surface of the heart," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(3), pages 608-622.
    • Handle: RePEc:eee:matcom:v:81:y:2010:i:3:p:608-622
    DOI: 10.1016/j.matcom.2010.06.012
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    Cited by:

    1. Allasia, Giampietro & Cavoretto, Roberto & De Rossi, Alessandra, 2014. "Local interpolation schemes for landmark-based image registration: A comparison," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 106(C), pages 1-25.
    2. Cavoretto, Roberto & De Rossi, Alessandra & Qiao, Hanli, 2018. "Topology analysis of global and local RBF transformations for image registration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 147(C), pages 52-72.

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