摘要：Multislice computed tomography (MSCT) scanners offer new
perspectives for cardiac kinetics evaluation with 4D dynamic
sequences of high contrast and spatiotemporal resolutions. A new
method is proposed for cardiac motion extraction in multislice CT.
Based on a 4D hierarchical surface-volume matching process, it
provides the detection of the heart left cavities along the
acquired sequence and the estimation of their 3D surface velocity
fields. A Markov random field model is defined to find, according
to topological descriptors, the best correspondences between a 3D
mesh describing the left endocardium at one time and the 3D
acquired volume at the following time. The global optimization of
the correspondences is realized with a multiresolution process.
Results obtained on simulated and real data show the capabilities
to extract clinically relevant global and local motion parameters
and highlight new perspectives in cardiac computed tomography
imaging.
