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4D deformable models with temporal constraints: application to 4D cardiac image segmentation
 

Summary: 4D deformable models with temporal constraints: application to
4D cardiac image segmentation
Johan Montagnat a,b,*, Herve´ Delingette a
a
EPIDAURE, INRIA, 2004 route des lucioles, BP 93, 06902 Sophia Antipolis cedex, France
b
CREATIS, CNRS UMR 5515, Inserm 20 av. A. Einstein, 69621 Villeurbanne cedex, France
Received 20 February 2001; received in revised form 29 July 2003; accepted 20 June 2004
Available online 5 November 2004
Abstract
Segmentation of time series of 3D cardiac images is clinically used for the assessment of the mechanical function of the left ven-
tricle. To take into account the 4D (3D + T) nature of those images, we propose to extend the deformable surface framework by
introducing time-dependent constraints. Thus, in addition to computing an internal force for enforcing the regularity of the deform-
able model, prior motion knowledge is introduced in the deformation process through either temporal smoothing or trajectory
constraints.
In this paper, deformable surfaces are represented as simplex meshes owing to their generality and their ability to compute mean
curvature at each vertex. The segmentation accuracy of this 4D deformable model is estimated on synthetic SPECT image sequences
for which a ground truth about the LV volume is known. Segmentation of non-synthetic SPECT and other modalities 4D images is
also discussed.
Ó 2004 Elsevier B.V. All rights reserved.

  

Source: Ayache, Nicholas - INRIA

 

Collections: Computer Technologies and Information Sciences; Engineering