A dynamic 3-D cardiac surface model from MR images

• Published in: Computers in Cardiology, 2005 pp. 423 - 426
• Main Authors: Delhay, B., Lotjonen, J., Clarysse, P., Katila, T., Magnin, I.E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Heart; Image analysis; Image motion analysis; Image recognition; Image segmentation; Information analysis; Information technology; Magnetic resonance imaging; Motion estimation; Tracking
• ISBN: 0780393376; 9780780393370
• ISSN: 0276-6574; 2325-8853
• DOI: 10.1109/CIC.2005.1588127

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