Free-breathing high isotropic resolution quantitative susceptibility mapping (QSM) of liver using 3D multi-echo UTE cones acquisition and respiratory motion-resolved image reconstruction Journal Article

   

Authors:	Kang, M.; Behr, G. G.; Jafari, R.; Gambarin, M.; Otazo, R.; Kee, Y.
Article Title:	Free-breathing high isotropic resolution quantitative susceptibility mapping (QSM) of liver using 3D multi-echo UTE cones acquisition and respiratory motion-resolved image reconstruction
Abstract:	Purpose: To enable free-breathing and high isotropic resolution liver quantitative susceptibility mapping (QSM) using 3D multi-echo UTE cones acquisition and respiratory motion-resolved image reconstruction. Methods: Using 3D multi-echo UTE cones MRI, a respiratory motion was estimated from the k-space center of the imaging data. After sorting the k-space data with estimated motion, respiratory motion state-resolved reconstruction was performed for multi-echo data followed by nonlinear least-squares fitting for proton density fat fraction (PDFF), (Figure presented.), and fat-corrected B0 field maps. PDFF and B0 field maps were subsequently used for QSM reconstruction. The proposed method was compared with motion-averaged (gridding) reconstruction and conventional 3D multi-echo Cartesian MRI in moving gadolinium phantom and in vivo studies. Region of interest (ROI)-based linear regression analysis was performed on these methods to investigate correlations between gadolinium concentration and QSM in the phantom study and between (Figure presented.) and QSM in in vivo study. Results: Cones with motion-resolved reconstruction showed sharper image quality compared to motion-averaged reconstruction with a substantial reduction of motion artifacts in both moving phantom and in vivo studies. For ROI-based linear regression analysis of the phantom study, susceptibility values from cones with motion-resolved reconstruction ((Figure presented.) = 0.31 (Figure presented.) 0.05, (Figure presented.) = 0.999) and Cartesian without motion ((Figure presented.) = 0.32 (Figure presented.) 0.04, (Figure presented.) = 1.000) showed linear relationships with gadolinium concentrations and showed good agreement with each other. For in vivo, motion-resolved reconstruction showed higher goodness of fit ((Figure presented.) = 0.00261 (Figure presented.) 0.524, (Figure presented.) = 0.977) compared to motion-averaged reconstruction ((Figure presented.) = 0.0021 (Figure presented.) 0.572, (Figure presented.) = 0.723) in ROI-based linear regression analysis between (Figure presented.) and QSM. Conclusion: Feasibility of free-breathing liver QSM was demonstrated with motion-resolved 3D multi-echo UTE cones MRI, achieving high isotropic resolution currently unachievable in conventional Cartesian MRI. © 2023 International Society for Magnetic Resonance in Medicine.
Keywords:	gadolinium; nuclear magnetic resonance imaging; magnetic resonance imaging; diagnostic imaging; liver; image enhancement; imaging, three-dimensional; iron; regression analysis; respiration; image reconstruction; phantoms; image segmentation; breathing; procedures; breathing rate; three-dimensional imaging; free breathing; susceptibility mapping; images reconstruction; respiratory rate; 3d multi-echo ute cones k-space sampling trajectory; free-breathing liver qsm; liver iron overload; motion-resolved image reconstruction; 3d multi-echo ute cone k-space sampling trajectory; free-breathing liver quantitative susceptibility mapping; iron overloads; k-space sampling; sampling trajectories
Journal Title:	Magnetic Resonance in Medicine
Volume:	90
Issue:	5
ISSN:	0740-3194
Publisher:	John Wiley & Sons
Date Published:	2023-11-01
Start Page:	1844
End Page:	1858
Language:	English
DOI:	10.1002/mrm.29779
PUBMED:	37392413
PROVIDER:	scopus
PMCID:	PMC10529485
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164101545&doi=10.1002%2fmrm.29779&partnerID=40&md5=6dc50df3feca6f1f8eec3cc4ff69ffab
Notes:	Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is Youngwook Kee -- Source: Scopus

https://synapse.mskcc.org/synapse/works/has_related_data_chk/210051