Meeting Banner
Abstract #4753

Slice Realignment for Motion-Corrupted Stacks of Short-Axis Cine Cardiac MR Images based on 3D Probabilistic Edge Maps

Giacomo Tarroni1, Ozan Oktay1, Andreas Schuh1, Wenjia Bai1, Antonio de Marvao1, Declan O'Regan1, Stuart Cook1, and Daniel Rueckert1

1Imperial College London, London, United Kingdom

Short-axis cine cardiac MR image stacks are acquired during multiple breath-holds, which often causes a misalignment of several slices. We propose a technique for in-plane spatial realignment of motion-corrupted short-axis slices which uses probabilistic edge maps of the myocardium (generated with decision forests) as input to image registration. The proposed technique was quantitatively tested on a dataset of motion-free stacks artificially corrupted by in-plane motion. Overlap measures such as the Dice coefficient - computed on myocardial masks segmented respectively on motion-free, motion-corrupted and motion-corrected stacks - suggest that the proposed technique is able to correctly compensate for slice misalignment.

This abstract and the presentation materials are available to members only; a login is required.

Join Here