Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04268-3_59 | MICCAI |
Keywords | Field | DocType |
vivo stents,endovascular optical coherence tomography,generalized cross-validation,detection outlier,vivo oct coronary imaging,phantom study,vessel wall,reendothelialization score,optimal selection,complete distance map,stent reendothelialization score,coronary artery segment,thin plate spline | Spline (mathematics),Active contour model,Computer vision,Optical coherence tomography,Stent,Computer science,Imaging phantom,Interpolation,Robustness (computer science),Distance transform,Artificial intelligence | Conference |
Volume | Issue | ISSN |
12 | Pt 1 | 0302-9743 |
Citations | PageRank | References |
4 | 0.60 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Dubuisson | 1 | 4 | 0.94 |
| Claude Kauffmann | 2 | 39 | 3.84 |
| Pascal Motreff | 3 | 7 | 1.87 |
| Laurent Sarry | 4 | 51 | 10.10 |