Abstract
Assume that only partial knowledge about a non-rigid registration
is given so that certain point, curves, or surfaces in one 3D
image map to certain points, curves, or surfaces in another 3D
image. We are facing the aperture problem because along the curves
and surfaces, point correspondences are not given. We will
advocate the viewpoint that the aperture and the 3D interpolation
problem may be solved simultaneously by finding the simplest
displacement field. This is obtained by a geometry-constrained
diffusion which yields the simplest displacement field in a
precise sense. The point registration obtained may be used for
growth modelling, shape statistics, or kinematic interpolation.
The algorithm applies to geometrical objects of any
dimensionality. We may thus keep any number of fiducial points,
curves, and/or surfaces fixed while finding the simplest
registration. Examples of inferred point correspondences in a
longitudinal growth study of the mandible are given.
Original language | English |
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Title of host publication | Medical Image Computing and Computer-Assisted Intervention - MICCAI 1999 |
Publisher | Springer Verlag |
Publication date | 1999 |
Pages | 533-543 |
Publication status | Published - 1999 |
Event | Medical Image Computing & Computer-Assisted - Cambrigde, England Duration: 1 Jan 1999 → … |
Conference
Conference | Medical Image Computing & Computer-Assisted |
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City | Cambrigde, England |
Period | 01/01/1999 → … |