Enhancing k-space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors.

TitleEnhancing k-space quantitative susceptibility mapping by enforcing consistency on the cone data (CCD) with structural priors.
Publication TypeJournal Article
Year of Publication2016
AuthorsWen Y, Wang Y, Liu T
JournalMagn Reson Med
Volume75
Issue2
Pagination823-30
Date Published2016 Feb
ISSN1522-2594
KeywordsAlgorithms, Artifacts, Brain, Computer Simulation, Healthy Volunteers, Humans, Image Enhancement, Magnetic Resonance Imaging, Phantoms, Imaging
Abstract

PURPOSE: The inversion from the magnetic field to the magnetic susceptibility distribution is ill-posed because the dipole kernel, which relates the magnetic susceptibility to the magnetic field, has zeroes at a pair of cone surfaces in the k-space, leading to streaking artifacts on the reconstructed quantitative susceptibility maps (QSM). A method to impose consistency on the cone data (CCD) with structural priors is proposed to improve the solutions of k-space methods.

METHODS: The information in the cone region is recovered by enforcing structural consistency with structural prior, while information in the noncone trust region is enforced to be consistent with the magnetic field measurements in k-space. This CCD method was evaluated by comparing the initial results of existing QSM algorithms to the QSM results after CCD enhancement with respect to the COSMOS results in simulation, phantom, and in vivo human brain.

RESULTS: The proposed method demonstrated suppression of streaking artifacts and the resulting QSM showed better agreement with reference standard QSM compared with other k-space based methods.

CONCLUSION: By enforcing consistency with structural priors in the cone region, the missing data in the cone can be recovered and the streaking artifacts in QSM can be suppressed.

DOI10.1002/mrm.25652
Alternate JournalMagn Reson Med
PubMed ID25752805
PubMed Central IDPMC4561604
Grant ListR43 EB015293 / EB / NIBIB NIH HHS / United States
R43EB015293 / 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