Tracking medical 3D data with a deformable parametric model
Bardinet, Eric; Cohen, Laurent D.; Ayache, Nicholas (1996), Tracking medical 3D data with a deformable parametric model, in Buxton, Bernard; Cipolla, Roberto, Computer Vision — ECCV '96 4th European Conference on Computer Vision Cambridge, UK, April 15–18, 1996 Proceedings, Volume I, Springer : Berlin Heidelberg, p. 315-328. 10.1007/BFb0015547
Type
Communication / ConférenceDate
1996Conference title
ECCV '96 4th European Conference on Computer VisionConference date
1996-04Conference city
CambridgeConference country
United KingdomBook title
Computer Vision — ECCV '96 4th European Conference on Computer Vision Cambridge, UK, April 15–18, 1996 Proceedings, Volume IBook author
Buxton, Bernard; Cipolla, RobertoPublisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-540-61122-6
Pages
315-328
Publication identifier
Metadata
Show full item recordAuthor(s)
Bardinet, EricEpidaure
Cohen, Laurent D.
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Ayache, Nicholas
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
We present a new approach to surface tracking applied to 3D medical data with a deformable model. It is based on a parametric model composed of a superquadric fit followed by a Free-Form Deformation (FFD), that gives a compact representation of a set of points in a 3D image. We present three different approaches to track surfaces in a sequence of 3D cardiac images. From the tracking, we infer quantitative parameters which are useful for the physician, like the ejection fraction, the variation of the heart wall thickness and of the volume during a cardiac cycle or the torsion component in the deformation of the ventricle. Experimental results are shown for automatic shape tracking and motion analysis of a time sequence of Nuclear Medicine images.Subjects / Keywords
surface trackingRelated items
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