Characterization of 3-D Coronary Tree Motion From MSCT Angiography

Published on Jan 1, 2010 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
· DOI :10.1109/TITB.2009.2032333
Guanyu Yang15
Estimated H-index: 15
(SEU: Southeast University),
Jian Zhou12
Estimated H-index: 12
(SEU: Southeast University)
+ 3 AuthorsChristine Toumoulin15
Estimated H-index: 15
(University of Rennes)
Sources
Abstract
This paper describes a method for the characterization of coronary artery motion using multislice computed tomography (MSCT) volume sequences. Coronary trees are first extracted by a spatial vessel tracking method in each volume of MSCT sequence. A point-based matching algorithm, with feature landmarks constraint, is then applied to match the 3-D extracted centerlines between two consecutive instants over a complete cardiac cycle. The transformation functions and correspondence matrices are estimated simultaneously, and allow deformable fitting of the vessels over the volume series. Either point-based or branch-based motion features can be derived. Experiments have been conducted in order to evaluate the performance of the method with a matching error analysis.
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