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Magnetic Resonance in Medicine
Article . 2023 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Thin slab quantitative susceptibility mapping

Authors: Nashwan Naji; Alan Wilman;

Thin slab quantitative susceptibility mapping

Abstract

AbstractPurposeSusceptibility maps reconstructed from thin slabs may suffer underestimation due to background‐field removal imperfections near slab boundaries and the increased difficulty of solving a 3D‐inversion problem with reduced support, particularly in the direction of the main magnetic field. Reliable QSM reconstruction from thin slabs would enable focal acquisitions in a much‐reduced scan time.MethodsThis work proposes using additional rapid low‐resolution data of extended spatial coverage to improve background‐field estimation and regularize the inversion‐to‐susceptibility process for high resolution, thin slab data. The new method was tested using simulated and in‐vivo brain data of high resolution (0.33 × 0.33 × 0.33 mm3 and 0.54 × 0.54 × 0.65 mm3, respectively) at 3T, and compared to the standard large volume approach.ResultsUsing the proposed method, in‐vivo high‐resolution QSM at 3T was obtained from slabs of width as small as 10.4 mm, aided by a lower‐resolution dataset of 24 times coarser voxels. Simulations showed that the proposed method produced more consistent measurements from slabs of at least eight slices. Reducing the mean ROI error to 5% required the low‐resolution data to cover ˜60 mm in the direction of the main field, have at least 2‐mm isotropic resolution that is not coarser than the high‐resolution data by more than four‐fold in any direction.ConclusionApplying the proposed method enabled focal QSM acquisitions at sub‐millimeter resolution within reasonable acquisition time.

Related Organizations
Keywords

Brain Mapping, Image Processing, Computer-Assisted, Brain, Magnetic Resonance Imaging, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
hybrid