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

Dymerska, Barbara; Eckstein, Korbinian; Trattnig, Siegfried; Shmueli, Karin; Robinson, Simon Daniel; (2019) Rapid Opensource Minimum Spanning TreE AlgOrithm for Phase Unwrapping (ROMEO). Presented at: BCISMRM Meeting, Sheffield, UK. Green open access

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Abstract

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.

Type: Conference item (Presentation)
Title: Rapid Opensource Minimum Spanning TreE AlgOrithm for Phase Unwrapping (ROMEO)
Event: BCISMRM Meeting
Location: Sheffield, UK
Dates: 16 Sep 2019
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.ismrm.org/chapters/british-chapter/bri...
Language: English
Additional information: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10190761
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