Quantitative susceptibility mapping across two clinical field strengths: Contrast-to-noise ratio enhancement at 1.5T.

TitleQuantitative susceptibility mapping across two clinical field strengths: Contrast-to-noise ratio enhancement at 1.5T.
Publication TypeJournal Article
Year of Publication2018
AuthorsIppoliti M, Adams LC, Winfried B, Hamm B, Spincemaille P, Wang Y, Makowski MR
JournalJ Magn Reson Imaging
Volume48
Issue5
Pagination1410-1420
Date Published2018 11
ISSN1522-2586
KeywordsAdult, Algorithms, Brain, Brain Mapping, Calcium, Contrast Media, Female, Humans, Image Processing, Computer-Assisted, Iron, Linear Models, Lipids, Magnetic Resonance Imaging, Male, Myelin Sheath, Prospective Studies, Reproducibility of Results, Signal-To-Noise Ratio
Abstract

BACKGROUND: Quantitative susceptibility mapping (QSM) is an MRI postprocessing technique that allows quantification of the spatial distribution of tissue magnetic susceptibility in vivo. Contributing sources include iron, blood products, calcium, myelin, and lipid content.

PURPOSE: To evaluate the reproducibility and consistency of QSM across clinical field strengths of 1.5T and 3T and to optimize the contrast-to-noise ratio (CNR) at 1.5T through bandwidth tuning.

STUDY TYPE: Prospective.

SUBJECTS: Sixteen healthy volunteers (10 men, 6 women; age range 24-37; mean age 27.8 ± 3.2 years).

FIELD STRENGTHS/SEQUENCES: 1.5T and 3T systems from the same vendor. Four spoiled gradient echo (SPGR) sequences were designed with different acquisition bandwidths.

ASSESSMENT: QSM reconstruction was achieved through a nonlinear morphology-enabled dipole inversion (MEDI) algorithm employing L1 regularization. CNR was calculated in seven regions of interest (ROIs), while reproducibility and consistency of QSM measurements were evaluated through voxel-based and region-specific linear correlation analyses and Bland-Altman plots.

STATISTICAL TESTS: Interclass correlation, Wilcoxon rank sum test, linear regression analysis, Bland-Altman analysis, Welch's t-test.

RESULTS: CNR analysis showed a statistically significant (P < 0.05) increase in four out of seven ROIs for the lowest bandwidth employed with respect to the highest (25.18% increase in CNR of caudate nucleus). All sequences reported an excellent correlation across field strength and bandwidth variation (R ≥ 0.96, widest limits of agreement from -18.7 to 25.8 ppb) in the ROI-based analysis, while the correlation was found to be good for the voxel-based analysis of averaged maps (R ≥ 0.90, widest limits of agreement from -9.3 to 9.1 ppb).

DATA CONCLUSION: CNR of QSM images reconstructed from 1.5T acquisitions can be enhanced through bandwidth tuning. MEDI-based QSM reconstruction demonstrated to be reproducible and consistent both across field strengths (1.5T and 3T) and bandwidth variation.

LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:1410-1420.

DOI10.1002/jmri.26045
Alternate JournalJ Magn Reson Imaging
PubMed ID29659131
Grant ListGRK 2260/1 / / Deutsche Forschungsgemeinschaft (DFG) / International
BIOQIC-BIOphysical Quantitative Imagin / / Deutsche Forschungsgemeinschaft (DFG) / International
5943/31/41/91 / / Deutsche Forschungsgemeinschaft (DFG) / International
Related Institute: 
MRI Research Institute (MRIRI)

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