Modélisation 3D et 3D+t des artères coronaires à partir de séquences rotationnelles de projections rayons X

Christophe Blondel 1
1 CHIR - Surgery, Informatics and Robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : X-ray angiography is the mostly used imaging modality for the diagnosis of coronary arteries pathologies. Current clinical routine relies on a rough processing of X-ray projections.
However, images have defects such as length foreshortening, magnification effect, and superimpositions. These difficulties impact diagnosis and therapeutical orientation.

We propose to take advantage of a new angiography acquisition mode: the rotational mode, so that to produce tridimensional and dynamic models of the coronary tree. These models would allow to overcome the intrinsic defects of images.

Our work is divided in three parts. First, a 3D multi-ocular reconstruction leads to a static model of coronary arteries centerlines, including the respiratory motion. Then, a 4D motion model of coronary arteries is computed over the entire cardiac cycle. Finally, knowledge of respiratory and cardiac motions is incorporated to perform the tomographic reconstruction of coronary arteries.

We have tested our approach on a 22 patients database and have proposed new tools and clinical applications for these tridimensional and dynamic models. These diagnostic tools have been prototyped and will be involved in clinical studies.
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Christophe Blondel. Modélisation 3D et 3D+t des artères coronaires à partir de séquences rotationnelles de projections rayons X. Interface homme-machine [cs.HC]. Université Nice Sophia Antipolis, 2004. Français. ⟨tel-00006067⟩

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