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Biostatistics 3:213-228 (2002)
© 2002 Oxford University Press

Bayesian contour detection in a time series of ultrasound images through dynamic deformable template models

Martin Bøgsted Hansen, Jesper Møller and Frede Aakmann Tøgersen

Martin Bøgsted Hansen, Jesper Møller. Department of Mathematical Sciences, Aalborg University, Fredrik Bajers Vej 7G, DK-9220 Aalborg Ø, Denmark mbh{at}math.auc.dk, jm@math.auc.dk
Frede Aakmann Tøgersen. Department of Agricultural Systems, Danish Institute of Agricultural Sciences, PO Box 50, DK-8830 Tjele, Denmark FredeA.Togersen{at}agrsci.dk

Deformable template models and Markov chain Monte Carlo methods are used for analysing a space–time process of intracoronary ultrasound images in order to detect the artery contour and various other characteristics as a function of time.

Keywords: Bayesian image analysis; Deformable templates; Intracoronary ultrasound images; Markov chain Monte Carlo; Space–time modelling


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