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.
CITATION STYLE
Zhou, Y., De Craene, M., Sermesant, M., & Bernard, O. (2017). Phase-based registration of cardiac tagged MR images by incorporating anatomical constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10124 LNCS, pp. 39–47). Springer Verlag. https://doi.org/10.1007/978-3-319-52718-5_5
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