title: A graph-based approach for spatio-temporal segmentation of coronary arteries in X-ray angiographic sequences.
abstract: The segmentation and tracking of coronary arteries (CAs) are critical steps for the computation of biophysical measurements in pediatric interventional cardiology. In the literature, most methods are focused on either segmenting the vessel lumen or on tracking the vessel centerline. However, they do not simultaneously combine the segmentation and tracking of a specific CA. This paper introduces a novel algorithm for CA segmentation and tracking from 2D X-ray angiography sequences. The proposed algorithm is based on the Temporal Vessel Walker (TVW) segmentation method, which combines graph-based formulation and temporal priors. Moreover, superpixel groups are used by TVW as image primitives to ensure a better extraction of the CA. The proposed algorithm, TVW with superpixels (SP-TVW), returns an accurate result to segment and track the artery along the angiogram. Quantitative results over 12 sequences of young patients show the accuracy of the proposed framework. The results return a mean recall of 84% in the dataset. In addition, the proposed method returned a Dice index of 70% in segmenting and tracking right coronary arteries and circumflex arteries. The performance of the proposed method surpasses the existing polyline method in tracking the centerline of CA with a more precise localization of the centerline, resulting in a smaller distance error of 0.23mm compared to 0.94mm.
authors.affiliation: Department of Software and IT Engineering, École de technologie supérieure, Montreal, Canada. Electronic address: faten.mhiri.1@ens.etsmtl.ca.
authors.forename: Faten
authors.initials: F
authors.lastname: M'hiri
authors.affiliation: Department of Software and IT Engineering, École de technologie supérieure, Montreal, Canada.
authors.forename: Luc
authors.initials: L
authors.lastname: Duong
authors.affiliation: Department of Software and IT Engineering, École de technologie supérieure, Montreal, Canada.
authors.forename: Christian
authors.initials: C
authors.lastname: Desrosiers
authors.affiliation: Department of Cardiology, Sainte-Justine Hospital, Montreal, Canada.
authors.forename: Mohamed
authors.initials: M
authors.lastname: Leye
authors.affiliation: Department of Cardiology, Sainte-Justine Hospital, Montreal, Canada.
authors.forename: Joaquim
authors.initials: J
authors.lastname: Miró
authors.affiliation: Automated Production Engineering, École de technologie supérieure, Montreal, Canada.
authors.forename: Mohamed
authors.initials: M
authors.lastname: Cheriet
mesh_terms: D000465:Algorithms; D002404:Catheterization; D017023:Coronary Angiography / Q000379:methods*; D003331:Coronary Vessels / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*
keywords: Coronary arteries; Graph-based method; Random walker; Segmentation; Superpixels; Tracking; X-ray angiography