6533b86dfe1ef96bd12ca07d

RESEARCH PRODUCT

Magnetic resonance image segmentation and heart motion tracking with an active mesh based system

Catherine QuantinL. LegrandCécile BordierPaul WalkerAlain LalandeFrançois Brunotte

subject

Sequence[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingDelaunay triangulationbusiness.industryQuantitative Biology::Tissues and OrgansPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical Imaging02 engineering and technologyImage segmentationTracking (particle physics)01 natural sciencesImage (mathematics)010309 opticsMatch movingMesh generation0103 physical sciences[INFO.INFO-IM]Computer Science [cs]/Medical Imaging0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionSegmentationArtificial intelligencebusinessMathematics

description

International audience; Abstract: The work presented here relates to a method fir motion tracking in sequences of medical images. The purpose is to. quantify the general motions and the local deformations of a beating heart during a cardiac cycle. In order to achieve this goal, we first tessellate the,first image of the sequence into triangular patches. A Delaunay triangulation is applied to find the optimal set of triangles describing this image, giving a mesh covering the organs. One imposes the contours of the organs to correspond to edges of triangles so that each part of the heart (left ventricle, right ventricle, myocardium) can he described as a different set of triai izles, each set in-dicated hv a c4f ferent color. We then track the nodes of the mesh on the image sequence while imposing them to remain on the edges of the different parts of the heart.

yearjournalcountryeditionlanguage
2002-09-22
http://www.scopus.com/inward/record.url?eid=2-s2.0-0036950333&partnerID=MN8TOARS