Automated peroperative assessment of stents apposition from OCT pullbacks. (1st April 2015)

• Record Type: Journal Article
• Authors: Dubuisson, Florian; Péry, Emilie; Ouchchane, Lemlih; Combaret, Nicolas; Kauffmann, Claude; Souteyrand, Géraud; Motreff, Pascal; Sarry, Laurent
• Is Part Of: Computers in biology and medicine. Volume 59(2015)
• Page Start: 98
• Page End: 105
• Publication Date: 2015-04-01
• Subjects: AMR Angular malapposition rate -- DES Drug eluting stents -- FD-OCT Frequency-domain OCT -- ICC Intraclass correlation coefficient -- ISA Incomplete stent apposition -- IVUS Intravascular ultrasound -- LE Longitudinal extension -- MR Malapposition rate -- MV Malapposition volume -- OCT Optical coherence tomography -- TPS Thin-plate spline; Biomedical image processing -- Coronary artery stenting -- Optical coherence tomography (OCT) -- Thin-plate spline (TPS); Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2014.12.012
• Languages: English
• ISSNs: 0010-4825

Abstract

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.