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Communication Dans Un Congrès Année : 2017

Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints

Yitian Zhou
Mathieu de Craene
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Olivier Bernard

Résumé

This paper presents a novel method that combines respective benefits of the tracking-based methods and the Gabor-based non-tracking approaches for improving the motion/strain quantification from tagged MR images. The “tag number constant” concept used in Gabor-based non-tracking methods is integrated into a recent phase-based registration framework. We evaluated our method on both synthetic and real data: (1) on a synthetic data of a normal heart, we found that the constraint improved both longitudinal and circumferential strains accuracies; (2) on 15 healthy volunteers, the proposed method achieved better tracking accuracy compared to three state-of-the-art methods; (3) on one patient dataset, we show that our method is able to distinguish the infarcted segments from the normal ones.
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Dates et versions

hal-02048117 , version 1 (25-02-2019)

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Citer

Yitian Zhou, Mathieu de Craene, Maxime Sermesant, Olivier Bernard. Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints. International Workshop on Statistical Atlases and Computational Models of the Heart, Oct 2016, Athens, Greece. pp.39-47, ⟨10.1007/978-3-319-52718-5_5⟩. ⟨hal-02048117⟩
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