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

  • Yitian Zhou
  • Mathieu De Craene
  • Maxime Sermesant
  • Olivier Bernard
Conference paper

DOI: 10.1007/978-3-319-52718-5_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10124)
Cite this paper as:
Zhou Y., De Craene M., Sermesant M., Bernard O. (2017) Phase-Based Registration of Cardiac Tagged MR Images by Incorporating Anatomical Constraints. In: Mansi T., McLeod K., Pop M., Rhode K., Sermesant M., Young A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2016. Lecture Notes in Computer Science, vol 10124. Springer, Cham

Abstract

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.

Keywords

Cardiac tagged MR Strain Tag number constant constraint 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yitian Zhou
    • 1
    • 3
  • Mathieu De Craene
    • 1
  • Maxime Sermesant
    • 2
  • Olivier Bernard
    • 3
  1. 1.Philips Research MedisysSuresnesFrance
  2. 2.Inria, Asclepios Research ProjectSophia AntipolisFrance
  3. 3.CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1VilleurbanneFrance

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