Simultaneous phase unwrapping and removal of chemical shift (SPURS) using graph cuts: application in quantitative susceptibility mapping.

TitleSimultaneous phase unwrapping and removal of chemical shift (SPURS) using graph cuts: application in quantitative susceptibility mapping.
Publication TypeJournal Article
Year of Publication2015
AuthorsDong J, Liu T, Chen F, Zhou D, Dimov A, Raj A, Cheng Q, Spincemaille P, Wang Y
JournalIEEE Trans Med Imaging
Volume34
Issue2
Pagination531-40
Date Published2015 Feb
ISSN1558-254X
KeywordsAbdomen, Algorithms, Fats, Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Phantoms, Imaging
Abstract

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging technique that reveals tissue magnetic susceptibility. It relies on having a high quality field map, typically acquired with a relatively long echo spacing and long final TE. Applications of QSM outside the brain require the removal of fat contributions to the total signal phase. However, current water/fat separation methods applied on typical data acquired for QSM suffer from three issues: inadequacy when using large echo spacing, over-smoothing of the field maps and high computational cost. In this paper, the general phase wrap and chemical shift problem is formulated using a single species fitting and is solved using graph cuts with conditional jump moves. This method is referred as simultaneous phase unwrapping and removal of chemical shift (SPURS). The result from SPURS is then used as the initial guess for a voxel-wise iterative decomposition of water and fat with echo asymmetric and least-squares estimation (IDEAL). The estimated 3-D field maps are used to compute QSM in body regions outside of the brain, such as the liver. Experimental results show substantial improvements in field map estimation, water/fat separation and reconstructed QSM compared to two existing water/fat separation methods on 1.5T and 3T magnetic resonance human data with long echo spacing and rapid field map variation.

DOI10.1109/TMI.2014.2361764
Alternate JournalIEEE Trans Med Imaging
PubMed ID25312917
Grant ListR01CA178007 / CA / NCI NIH HHS / United States
R01 EB013443 / EB / NIBIB NIH HHS / United States
R43EB015293 / EB / NIBIB NIH HHS / United States
R43 EB015293 / EB / NIBIB NIH HHS / United States
R01EB013443 / EB / NIBIB NIH HHS / United States
Related Institute: 
MRI Research Institute (MRIRI)

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065