A dynamic 3-D cardiac surface model from MR images

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 ab...

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Bibliographic Details
Main Authors: Delhay, B., Lotjonen, J., Clarysse, P., Katila, T., Magnin, I.E.
Format: Conference Proceeding
Language:English
Subjects:
Heart
Image analysis
Image motion analysis
Image recognition
Image segmentation
Information analysis
Information technology
Magnetic resonance imaging
Motion estimation
Tracking
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Summary: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
ISSN:0276-6574
2325-8853
DOI:10.1109/CIC.2005.1588127