A tree-topology preserving pairing for 3D/2D registration

Thomas Benseghir 1, 2 Grégoire Malandain 3 Régis Vaillant 2
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
3 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : Purpose: Fusing pre-operative and intra-operative information into a single space aims at taking advantage of two complementary modalities and necessitates a step of registration that must provide good alignment and relevant correspondences. This paper addresses both purposes in the case of 3D/2D vessel tree matching. Method: We propose a registration algorithm endorsing this vascular tree nature by providing a pairing procedure that preserves the tree topology and by integrating this pairing into an iterative algorithm maintaining pairing coherence. In addition, we define two complementary error measures quantifying the resulting alignment error and pairing error. Both are based on manual ground-truth that is independent of the type of transformation to retrieve. Results: Experiments were conducted on a database of 63 clinical cases, evaluating robustness and accuracy of our approach with respect to the iterative closest point algorithm. Conclusion: The proposed method exhibits good results both in term of pairing and alignment as well as low sensitivity to rotations to be compensated (up to 30 degrees).
Document type :
Journal articles
Complete list of metadatas

Cited literature [21 references]  Display  Hide  Download

Contributor : Thomas Benseghir <>
Submitted on : Monday, August 17, 2015 - 10:07:50 AM
Last modification on : Thursday, February 7, 2019 - 4:23:52 PM
Long-term archiving on : Wednesday, November 18, 2015 - 10:34:03 AM


Files produced by the author(s)




Thomas Benseghir, Grégoire Malandain, Régis Vaillant. A tree-topology preserving pairing for 3D/2D registration. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2015, 10 (6), pp.913-923. ⟨10.1007/s11548-015-1207-0⟩. ⟨hal-01183573⟩



Record views


Files downloads