title: Automated peroperative assessment of stents apposition from OCT pullbacks.
abstract: This study's aim was to control the stents apposition by automatically analyzing endovascular optical coherence tomography (OCT) sequences. Lumen is detected using threshold, morphological and gradient operators to run a Dijkstra algorithm. Wrong detection tagged by the user and caused by bifurcation, struts'presence, thrombotic lesions or dissections can be corrected using a morphing algorithm. Struts are also segmented by computing symmetrical and morphological operators. Euclidian distance between detected struts and wall artery initializes a stent's complete distance map and missing data are interpolated with thin-plate spline functions. Rejection of detected outliers, regularization of parameters by generalized cross-validation and using the one-side cyclic property of the map also optimize accuracy. Several indices computed from the map provide quantitative values of malapposition. Algorithm was run on four in-vivo OCT sequences including different incomplete stent apposition's cases. Comparison with manual expert measurements validates the segmentation׳s accuracy and shows an almost perfect concordance of automated results.
authors.affiliation: Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: florian.dubuisson@gmail.com.
authors.forename: Florian
authors.initials: F
authors.lastname: Dubuisson
authors.affiliation: Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: emilie.pery@udamail.fr.
authors.forename: Emilie
authors.initials: E
authors.lastname: Péry
authors.affiliation: Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: lemlih.ouchchane@udamail.fr.
authors.forename: Lemlih
authors.initials: L
authors.lastname: Ouchchane
authors.affiliation: Department of Cardiology, Gabriel-Montpied Hospital and with Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: n_combaret@chu-clermontferrand.fr.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Combaret
authors.affiliation: Notre-Dame Hospital, Montreal, Canada. Electronic address: claude.kauffmann@gmail.com.
authors.forename: Claude
authors.initials: C
authors.lastname: Kauffmann
authors.affiliation: Department of Cardiology, Gabriel-Montpied Hospital and with Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: gsouteyrand@chu-clermontferrand.fr.
authors.forename: Géraud
authors.initials: G
authors.lastname: Souteyrand
authors.affiliation: Department of Cardiology, Gabriel-Montpied Hospital and with Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: pmotreff@chu-clermontferrand.fr.
authors.forename: Pascal
authors.initials: P
authors.lastname: Motreff
authors.affiliation: Image Science for Interventional Techniques laboratory, UMR 6284 UdA-CNRS, Clermont-Ferrand, France. Electronic address: laurent.sarry@udamail.fr.
authors.forename: Laurent
authors.initials: L
authors.lastname: Sarry
mesh_terms: D000465:Algorithms; D057510:Endovascular Procedures / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015607:Stents; D025321:Surgery, Computer-Assisted; D041623:Tomography, Optical Coherence / Q000379:methods*
keywords: Biomedical image processing; Coronary artery stenting; Optical coherence tomography (OCT); Thin-plate spline (TPS)