Title | MEDI+0: Morphology enabled dipole inversion with automatic uniform cerebrospinal fluid zero reference for quantitative susceptibility mapping. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Liu Z, Spincemaille P, Yao Y, Zhang Y, Wang Y |
Journal | Magn Reson Med |
Volume | 79 |
Issue | 5 |
Pagination | 2795-2803 |
Date Published | 2018 05 |
ISSN | 1522-2594 |
Keywords | Algorithms, Brain, Brain Mapping, Cerebrospinal Fluid, Computer Simulation, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Multiple Sclerosis, Phantoms, Imaging |
Abstract | PURPOSE: To develop a quantitative susceptibility mapping (QSM) method with a consistent zero reference using minimal variation in cerebrospinal fluid (CSF) susceptibility. THEORY AND METHODS: The ventricular CSF was automatically segmented on the R2* map. An L -regularization was used to enforce CSF susceptibility homogeneity within the segmented region, with the averaged CSF susceptibility as the zero reference. This regularization for CSF homogeneity was added to the model used in a prior QSM method (morphology enabled dipole inversion [MEDI]). Therefore, the proposed method was referred to as MEDI+0 and compared with MEDI in a numerical simulation, in multiple sclerosis (MS) lesions, and in a reproducibility study in healthy subjects. RESULTS: In both the numerical simulations and in vivo experiments, MEDI+0 not only decreased the susceptibility variation within the ventricular CSF, but also suppressed the artifact near the lateral ventricles. In the simulation, MEDI+0 also provided more accurate quantification compared to MEDI in the globus pallidus, substantia nigra, corpus callosum, and internal capsule. MEDI+0 measurements of MS lesion susceptibility were in good agreement with those obtained by MEDI. Finally, both MEDI+0 and MEDI showed good and similar intrasubject reproducibility. CONCLUSION: QSM with a minimal variation in ventricular CSF is viable to provide a consistent zero reference while improving image quality. Magn Reson Med 79:2795-2803, 2018. © 2017 International Society for Magnetic Resonance in Medicine. |
DOI | 10.1002/mrm.26946 |
Alternate Journal | Magn Reson Med |
PubMed ID | 29023982 |
PubMed Central ID | PMC5821583 |
Grant List | R01 NS072370 / NS / NINDS NIH HHS / United States S10 OD021782 / OD / NIH HHS / United States R01 NS095562 / NS / NINDS NIH HHS / United States R01 NS090464 / NS / NINDS NIH HHS / United States R01 CA181566 / CA / NCI NIH HHS / United States |
Related Institute:
MRI Research Institute (MRIRI)