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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.