In Vivo Supervised Analysis of Stent Reendothelialization From Optical Coherence Tomography
Résumé
The aim of this study is to interactively assess reendothelialization of stents at an accuracy of down to a few micrometer
by analyzing endovascular optical coherence tomography (OCT) sequences. Vessel wall and stent struts are automatically detected by using morphological, gradient, and symmetry operators coupled with active contour models; alerts are issued to
ask for user supervision over some extreme irregular geometries caused by thrombotic lesions or dissections. A complete distance
map is then computed from sparse distances measured between wall and struts. Missing values are interpolated by thin-plate spline (TPS) functions. Accuracy and robustness are increased by taking into account the inhomogeneity of data points and integrating in the same framework orthogonalized forward selection of support points, optimal selection of regularization parameters by generalized cross-validation, and rejection of detection outliers. Validation is performed on simulated data, phantom acquisitions and 11 typical in vivo OCT sequences. The comparison against
manual expert measurements demonstrates a bias of the order of OCT resolution (less than 10 microns) and a standard deviation of the
order of the strut width (less than 150 microns).
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