Assessment of Inter-Expert Variability and of an Automated Segmentation Method of 40 and 60 MHz IVUS Images of Coronary Arteries

François Destrempes, Marie-Hélène Roy Cardinal, Yoshifumi Saijo, Gérard Finet, Jean-Claude Tardif and Guy Cloutier

PLOS ONE, 2017, vol. 12, issue 1, 1-22

Abstract: The objectives were to compare the performance of a segmentation algorithm, based on the minimization of an uncertainty function, to delineate contours of external elastic membrane and lumen of human coronary arteries imaged with 40 and 60 MHz IVUS, and to use values of this function to delineate portions of contours with highest uncertainty. For 8 patients, 40 and 60 MHz IVUS coronary data acquired pre- and post-interventions were used, for a total of 68,516 images. Manual segmentations of contours (on 2312 images) performed by experts at three core laboratories were the gold-standards. Inter-expert variability was highest on contour points with largest values of the uncertainty function (p

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0168332

DOI: 10.1371/journal.pone.0168332

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