A dynamic 3-D cardiac surface model from MR images

Author

Delhay, B. ; Lötjönen, J. ; Clarysse, P. ; Katila, T. ; Magnin, Ie

Author_Institution

INSERM, CNRS, Villeurbanne

fYear

2005

fDate

25-28 Sept. 2005

Firstpage

423

Lastpage

426

Abstract

Cardiac 3D+time segmentation and motion estimation are recognized as difficult prerequisite tasks for any quantitative analysis of cardiac images. Some recent algorithms aim to consider a temporal constraint to increase the accuracy of results. To improve the temporal consistency, prior knowledge about cardiac dynamics can be used. In this paper, we propose to build a new Statistical Dynamic Model (SDM) of the heart by learning through a population of healthy individuals. This SDM is composed by a set of semi-landmarks which describe the heart surfaces. For each of them, a mean trajectory and variability around it are derived. The SDM provides a reasonable constraint for a temporally regularized segmentation and motion tracking algorithm

Keywords

biomedical MRI; cardiology; image segmentation; medical image processing; motion estimation; statistical analysis; MR images; cardiac dynamics; dynamic 3-D cardiac surface model; motion estimation; motion tracking algorithm; quantitative cardiac image analysis; statistical dynamic model; temporal consistency; temporally regularized segmentation algorithm; time segmentation; Heart; Image analysis; Image motion analysis; Image recognition; Image segmentation; Information analysis; Information technology; Magnetic resonance imaging; Motion estimation; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 2005

Conference_Location

Lyon

Print_ISBN

0-7803-9337-6

Type

conf

DOI

10.1109/CIC.2005.1588127

Filename

1588127