Cardiac Ultrasound Motion Detection by Elastic Registration Exploiting Temporal Coherence

We propose a new global registration method for estimating the cardiac displacement field in 2D sequences of ultrasound images of the heart. The basic idea is to select a reference frame (e.g., the first image of a cycle) and to map each image in the sequence to it using elastic deformation. What makes our method specific is the use of a semi-local parametric model of the deformation (spatio-temporal spline), and the reformulation of the registration task as a global spatio-temporal optimization problem. The scale of the spline model controls the smoothness of the displacement field. Our algorithm uses a multiresolution optimization strategy for higher speed and robustness. We validated the accuracy of our algorithm by applying it to a synthetic sequence; this one heart-cycle test sequence was generated by deforming a reference frame according to a realistic motion model and by adding random noise to it. Finally, we present results on real data from normal and pathological subjects to illustrate the clinical applicability of our method.


Published in:
Proceedings of the First IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI'02), Washington DC, USA, 585–588
Year:
2002
Publisher:
IEEE
Laboratories:




 Record created 2015-09-18, last modified 2018-09-13

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