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SEGUE: a Speedy rEgion-Growing algorithm for Unwrapping Estimated phase

Anita Karsa, Karin Shmueli
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]

Kwok-Shing Chan, José P Marques
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