Incorporating low-level constraints for the retrieval of personalised heart models from dynamic MRI

Authors:
Christopher Casta;Patrick Clarysse;Jérôme Pousin;Joël Schaerer;Pierre Croisille;Yue-Min Zhu
Affiliations:
Université de Lyon, CREATIS, CNRS, UMR, INSERM, INSA-Lyon;Université de Lyon, CREATIS, CNRS, UMR, INSERM, INSA-Lyon;Université de Lyon, ICJ, CNRS, UMR, INSA-Lyon, Villeurbanne, France;Université de Lyon, CREATIS, CNRS, UMR, INSERM, INSA-Lyon;Université de Lyon, CREATIS, CNRS, UMR, INSERM, INSA-Lyon;Université de Lyon, CREATIS, CNRS, UMR, INSERM, INSA-Lyon
Venue:
STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
Year:
2010

Citing 3
Cited 1

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Abstract

We have recently presented the dynamic deformable elastic template (DET) model for the retrieval of personalised anatomical and functional models of the heart from dynamic cardiac image sequences. The dynamic DET model is a finite element deformable model, for which the minimum of the energy must satisfy a simplified equation of Dynamics. It yielded fairly accurate results during our valuation process on a 45 patients cine MRI database. However, it experienced difficulties when dealing with very large thickening throughout the cardiac cycle, or on highly pathological cases. In this paper, we introduce prescribed displacements as low level constraints to locally drive the model. Non prescribed contour nodes are displaced according to a combination of forces extracted from prescribed points and image gradient. Prescribing a few points in a whole sequence allows us to retrieve much better segmentations on rather difficult cases.