Abstract
Magnetic resonance tagging has proved to be an efficient non-invasive imaging technique for the study of the heart motion, producing a sharp and dense pattern on the tissues. Up to now, the quality of information derived from it has been unequalled by other modalities. It seems to be the perfect modality for the building of heart motion models. However, its main drawback was the tediousness of the image processing tasks it requires to extract the information. Recent achievements [1],[9] have overcome that. In previous work [2], we have presented a novel parametric class of deformation for the 2D heart motion in the short axis planes. From it, we can compute a very accurate and compact analytical expression of the walls motion from the grid information. We present here this kinetic model, and its applications to heart modeling. In particular, we build a decomposition basis of the 2D motion with only three orthogonal modes.
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Allouche, C.F., Makam, S., Ayache, N., Delingette, H. (2001). A New Kinetic Modeling Scheme for the Human Left Ventricle Wall Motion with MR-Tagging Imaging. In: Katila, T., Nenonen, J., Magnin, I.E., Clarysse, P., Montagnat, J. (eds) Functional Imaging and Modeling of the Heart. FIMH 2001. Lecture Notes in Computer Science, vol 2230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45572-8_9
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DOI: https://doi.org/10.1007/3-540-45572-8_9
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