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SEGUE: a Speedy rEgion-Growing algorithm for Unwrapping Estimated phase
2019
IEEE Transactions on Medical Imaging
In this paper, we develop a Speedy rEgion-Growing algorithm for Unwrapping Estimated phase (SEGUE) based on similar principles to PRELUDE, implemented with additional methods for acceleration. ...
Phase region expanding labeller for unwrapping discrete estimates (PRELUDE) is the gold standard method for robust, spatial, 3-D, MRI phase unwrapping. ...
ACKNOWLEDGMENT We would like to thank Simon Robinson for providing us with his numerical phase phantom of complex topography. We would also like to thank Timothy J.P. ...
doi:10.1109/tmi.2018.2884093
pmid:30561341
fatcat:gdrjbzwwn5f4va2hbzb43ejzly
Table of contents
2019
IEEE Transactions on Medical Imaging
SEGUE: A Speedy rEgion-Growing Algorithm for Unwrapping Estimated Phase .... A. Karsa and K. ...
Islam, A. Chaudhry, and R. Righetti Direct Estimation of Voxel-Wise Neurotransmitter Response Maps From Dynamic PET Data ................... ........................................... G. I. ...
doi:10.1109/tmi.2019.2917568
fatcat:hqlo4l4y7ngvpn4utbzu2idmhm
SEPIA - SuscEptibility mapping PIpeline tool for phAse images
[article]
2020
bioRxiv
pre-print
These properties have contributed to a growing interest to use QSM not only in research but also in clinical applications. ...
In this paper, we present an open-source processing pipeline tool called SuscEptibility mapping PIpeline tool for phAse images (SEPIA) dedicated to the post-processing of MRI phase images and QSM. ...
MEDI toolbox (updated 15 January 2020), STI suite (version 3.0), FANSI toolbox (commit
dc68x306) and Speedy rEgion Growing for Unwrapping Estimated phase (SEGUE) (Karsa
and Shmueli, 2018), along with ...
doi:10.1101/2020.07.23.217042
fatcat:zckw5dtkbfdg5atuxes3xr5nd4