This paper describes a modelling method for continuous closed contours
. The initial input data set consists of two-dimensional (2-D) points,
which may be represented as a discrete function in a polar coordinate
system. The method uses the Shannon interpolation between these data
points to obtain the global continuous contour model. A minimal descri
ption of the contour is obtained using the link between the Shannon in
terpolation kernel and the Fourier series of polar development (FSPD)
for periodic functions. The Shannon interpolation kernel allows the di
rect interpretation of the contour smoothness in terms of both samples
and Fourier frequency domains. In order to deal with deformation poin
t sources, often encountered in active modelling techniques, a method
of local deformation is proposed. Each local deformation is performed
in an angular sector centred on the deformation point source. All the
neighbouring characteristic samples are displaced in order to minimize
the oscillations of the newly created model outside the deformation s
ector. This deformation technique preserves the frequency characterist
ics of the contour, regardless of the number and the intensity of defo
rmation sources. In this way, the technique induces a frequency modell
ing constraint, which may be subsequently used in an active detection
and modelling environment. Experiments on synthetic and real data prov
e the efficiency of the proposed technique. The method is currently us
ed to model contours of the left ventricle of the heart obtained from
ultrasound apical images. This work is part of a larger project, the a
im of which is to analyse the space and time deformations of the left
ventricle. The 2-D Fourier-Shannon model is used as a basis for more c
omplex three-dimensional and four-dimensional Fourier models, able to
recover automatically the movement and deformation of the left ventric
le of the heart during a cardiac cycle.