Intensity-based 3D motion correction for cardiac MR images
Nil Stolt-Ansó Vasiliki Sideri-Lampretsa Maik Dannecker Daniel Rueckert
Cardiac magnetic resonance (CMR) image acquisition requires subjects to hold
their breath while 2D cine images are acquired. This process assumes that the
heart remains in the same position across all slices. However, differences in
breathhold positions or patient motion introduce 3D slice misalignments. In
this work, we propose an algorithm that simultaneously aligns all SA and LA
slices by maximizing the pair-wise intensity agreement between their
intersections. Unlike previous works, our approach is formulated as a
subject-specific optimization problem and requires no prior knowledge of the
underlying anatomy. We quantitatively demonstrate that the proposed method is
robust against a large range of rotations and translations by synthetically
misaligning 10 motion-free datasets and aligning them back using the proposed
method.