In Vivo OCT Coronary Imaging Augmented with Stent Reendothelialization Score

  • Florian Dubuisson
  • Claude Kauffmann
  • Pascal Motreff
  • Laurent Sarry
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5761)


The aim of this study is to automatically assess reendothelialization of stents at an accuracy of down to a few microns by analyzing endovascular optical coherence tomography (OCT) sequences. Vessel wall and struts are automatically detected and complete distance map is then computed from sparse distances measured between wall and struts by thin-plate spline (TPS) interpolation. A reendothelialization score is mapped onto the geometry of the coronary artery segment. Accuracy and robustness are increased by taking into account the inhomogeneity of datapoints and integrating in the same framework orthogonalized forward selection of support points, optimal selection of regularization parameters by generalized cross-validation (GCV) and rejection of detection outliers. The comparison against manual expert measurements for a phantom study and 12 in vivo stents demonstrates no significant discordance with variability of the order of the strut thickness.


Optical Coherence Tomography Support Point Optical Coherence Tomography Image Neointimal Hyperplasia Active Contour Model 
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 2009

Authors and Affiliations

  • Florian Dubuisson
    • 1
  • Claude Kauffmann
    • 2
  • Pascal Motreff
    • 1
    • 3
  • Laurent Sarry
    • 1
  1. 1.ERIM, Faculty of MedicineUniversity of AuvergneClermont-FerrandFrance
  2. 2.Department of Medical ImagingNotre-Dame Hospital, CHUMMontrealCanada
  3. 3.Department of CardiologyGabriel Montpied HospitalClermont-FerrandFrance

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