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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 / Conférence
Date
1996
Conference title
ECCV '96 4th European Conference on Computer Vision
Conference date
1996-04
Conference city
Cambridge
Conference country
United Kingdom
Book title
Computer Vision — ECCV '96 4th European Conference on Computer Vision Cambridge, UK, April 15–18, 1996 Proceedings, Volume I
Book author
Buxton, Bernard; Cipolla, Roberto
Publisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-540-61122-6
Pages
315-328
Publication identifier
10.1007/BFb0015547
Metadata
Show full item record
Author(s)
Bardinet, Eric
Epidaure
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 tracking

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