title: A framework for automatic analysis of the dynamic behaviour of coronary angiograms.
abstract: A framework for coronary vessels analysis in digital subtracted angiograms is described. This method combines the motion estimation with the frame-to-frame structure detection in a natural way such that they act interactively. The first step consists of the extraction of the vessel centrelines in one image and their organization into meaningful constituents or branches of the coronary arterial tree. The motion is then estimated along the centrelines through a gradient based method. These motion estimates supply an initial positioning of an active contour model (or 'snake') in the next image. This model adapts itself by changing its shape to accurately fit onto the new centrelines. This process is then reiterated on the subsequent images to depict the dynamic behaviour of all the relevant branches. The main interests of this scheme are: (1) the active models operate locally so a fast detection of the vessels can be performed; (2) the centrelines extraction is fully guided by the confluence of the motion estimation and the contour model; (3) both morphological and kinetic features are provided on a quantitative basis.
authors.affiliation: Laboratoire Traitement du Signal et de l'Image INSERM U335, Université de Rennes I, France.
authors.forename: J L
authors.initials: JL
authors.lastname: Coatrieux
authors.forename: J
authors.initials: J
authors.lastname: Rong
authors.forename: R
authors.initials: R
authors.lastname: Collorec
mesh_terms: D000465:Algorithms; D015901:Angiography, Digital Subtraction / Q000379:methods; D002932:Cineangiography / Q000379:methods; D017023:Coronary Angiography / Q000379:methods*; D006801:Humans; D008433:Mathematics; D009038:Motion; D012815:Signal Processing, Computer-Assisted; D012985:Software Design