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Characterization of 3-D coronary tree motion from MSCT angiography.

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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https://www.hal.inserm.fr/inserm-00450268
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Submitted on : Saturday, January 30, 2010 - 6:06:23 PM
Last modification on : Friday, July 5, 2019 - 10:16:02 AM
Long-term archiving on: : Thursday, June 17, 2010 - 9:46:22 PM

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Guanyu Yang, Jian Zhou, Dominique Boulmier, Marie-Paule Garcia, Limin Luo, et al.. Characterization of 3-D coronary tree motion from MSCT angiography.. IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2010, 14 (1), pp.101-6. ⟨10.1109/TITB.2009.2032333⟩. ⟨inserm-00450268⟩

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