Correction of Slice Misalignment in Multi-breath-hold Cardiac MRI Scans

  • Benjamin Villard
  • Ernesto Zacur
  • Erica Dall’Armellina
  • Vicente Grau
Conference paper

DOI: 10.1007/978-3-319-52718-5_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10124)
Cite this paper as:
Villard B., Zacur E., Dall’Armellina E., Grau V. (2017) Correction of Slice Misalignment in Multi-breath-hold Cardiac MRI Scans. 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

Cardiac Magnetic Resonance (CMR) provides unique functional and anatomical visualisation of the macro and micro-structures of the heart. However, CMR acquisition times usually necessitate slices to be acquired at different breath holds, which results in potential misalignment of the acquired slices. Correcting for this spatial misalignment is required for accurate three-dimensional (3D) reconstruction of the heart chambers allowing robust metrics for shape analysis among populations as well as precise representations of individual geometries and scars. While several methods have been proposed to realign slices, their use in other important protocols such as late gadolinium enhancement (LGE) is yet to be demonstrated. We propose a registration framework based on local phase to correct for slice misalignment. Our registration framework is a group registration technique combining long- and short-axis slices. Validation was performed on LGE slices using expert-traced ventricular contours. For 15 clinical multi-breath-hold datasets our method reduced the median discrepancy of moderately misaligned slices from 2.19 mm to 1.63 mm, and of severely misaligned from 7.33 mm to 1.96 mm.

Keywords

Slice misalignment Late gadolinium enhancement CMR 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Benjamin Villard
    • 1
  • Ernesto Zacur
    • 1
  • Erica Dall’Armellina
    • 2
  • Vicente Grau
    • 1
  1. 1.Institute of Biomedical EngineeringUniversity of OxfordOxfordUK
  2. 2.Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Acute Vascular Imaging CenterUniversity of OxfordOxfordUK

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