Advertisement
Published in:
2015 | OriginalPaper | Chapter
Coronary Tree Matching Based on Association Graphs with Artificial Nodes
Authors : Hélčne Feuillâtre, Jean-Claude Nunes, Si Li, Christine Toumoulin
Published in: 6th European Conference of the International Federation for Medical and Biological Engineering
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Tree matching algorithms have various applications in medical imaging for anatomical vessel system such as navigation in the tree structures, planning and treatment procedure or follow-up cardiac therapy. We consider that a dynamic sequence of 3D coronary trees is available from pre-segmented CT data or from reconstruction of the projections acquired from X-ray rotational angiography. We present an automatic graph-based method to find the best match between two non-isomorphic 3D coronary trees that represent two nearly phases of cardiac cycle. Our tree matching algorithm is based on association graphs and maximum clique. In addition to the graph characteristics, the constraint uses also the geometric features of branches (the tree shape). To improve matching performance, our method inserts artificial nodes to match unpaired nodes of the two graphs. We tested our method on real data : 10 volumes of same patient.