3D coronary structure tracking algorithm with regularization and multiple hypotheses in MRI

Jérôme Velut 1, * Christine Toumoulin 2, * Jean-Louis Coatrieux 1, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 LTSI - Laboratoire Traitement du Signal et de l'Image
Abstract : This paper presents an improved version of a tracking algorithm for the extraction of the 3D central axis of tubular-like object in a low-contrast and multi-object environment. This improvement concerns two aspects: (1) an efficient Infinite Impulse Response (IIR) filtering of the successive tracking directions is used to introduce regularization and (2) a multiple hypotheses testing procedure allows an almost exhaustive selection of the best centreline location by building different paths according to the applied parameters. A score is then computed for each hypothesis that helps in the selection of the best path along the tree. The improved tracking algorithm is tested on Magnetic Resonance Angiography (MRA) datasets to extract the coronary artery centrelines.
Keywords : MRI coronary artery centrelines coronary structure 3D tracking algorithm infinite impulse response filtering magnetic resonance angiography multiple hypotheses tubular-like object 3D central axis extraction Regularization Spatial tracking
Type de document :
Communication dans un congrès
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010), Apr 2010, Rotterdam, Netherlands. IEEE Press, pp.37-40, 2010, 〈10.1109/ISBI.2010.5490421〉
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Soumis le : mardi 19 octobre 2010 - 12:59:17
Dernière modification le : mercredi 16 mai 2018 - 11:23:40
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Jérôme Velut, Christine Toumoulin, Jean-Louis Coatrieux. 3D coronary structure tracking algorithm with regularization and multiple hypotheses in MRI. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2010), Apr 2010, Rotterdam, Netherlands. IEEE Press, pp.37-40, 2010, 〈10.1109/ISBI.2010.5490421〉. 〈inserm-00526973〉

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