Meeting Banner
Abstract #3659

Rapid Opensource Minimum Spanning TreE AlgOrithm for Phase Unwrapping (ROMEO)

Simon Daniel Robinson1,2,3, Korbinian Eckstein1, Siegfried Trattnig1, Karin Shmueli4, and Barbara Dymerska4
1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Department of Neurology, Medical University of Graz, Graz, Austria, 3Centre for Advanced Imaging, University of Queensland, Queensland, Australia, 4University College London, London, United Kingdom

We present a phase unwrapping algorithm (ROMEO), which improves on previous path-based unwrapping methods by using weights (the values of which determine the order in which voxels are unwrapped) that guide the unwrapping on paths through the object which avoid noise and a computationally efficient minimum spanning tree algorithm. ROMEO was tested against the region-growing method PRELUDE and the voxel-based method Best Path in unwrapping simulated data (a complex topography) and in-vivo GRE and EPI data acquired at 7T. ROMEO was found to be faster and more reliable than PRELUDE and Best Path.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here