Reconstruction of detailed left ventricle motion from TMRI using deformable models

Authors:
Xiaoxu Wang;Joel Schaerer;Suejung Huh;Zhen Qian;Dimitis Metaxas;Ting Chen;Leon Axel
Affiliations:
Rutgers University, Piscataway, NJ;CREATIS, CNRS UMR, Inserm, INSA Lyon, Villeurbanne Cedex, France;Rutgers University, Piscataway, NJ;Rutgers University, Piscataway, NJ;Rutgers University, Piscataway, NJ;New York University, New York, NY;New York University, New York, NY
Venue:
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
Year:
2007

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Abstract

We present a system that reconstructs the 3D motion of the left ventricle (LV) for a full cardiac cycle using a deformable model built from tagged MR images. Two sets of cues are drawn from tagged MRI. The intersections of the three tagging planes, and the intersections of the LV boundary and the tagging planes, are interpolated onto the mesh vertices. We implement a deformable model to track the LV motion, utilizing Finite Element Methods (FEM) to keep the general shape and topology of the LV. This volumetric deformable model speeds up the FEM and facilitates the medical analysis. The LV motion reconstruction provides information for further analysis of cardiac mechanisms.