Meeting Banner
Abstract #0784

Motion-free Abdominal MRI using Manifold Alignment

Xin Chen1, Muhammad Usman1, Christian Baumgartner2, Claudia Prieto1, and Andrew King1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Biomedical Image Analysis Group, Imperial College, London, United Kingdom

We present a novel method based on manifold alignment, which enables reconstruction of motion-free abdominal images throughout the respiratory cycle to better capture respiratory intra- and inter-cycle variations. The proposed method was evaluated on both simulated and in-vivo 2D acquisitions. Based on virtual navigator measurement, the reconstructed dynamic sequence achieved Pearson correlation coefficient of 0.9504 with the ground truth of the simulated dataset. The proposed method enables much richer profile data to be used for self-gating, resulting in less blurring when compared to conventional central k-space self-gating method for the in-vivo acquisition.

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

Join Here