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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Magnetic Resonance i...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Magnetic Resonance in Medicine
Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
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Maximum spherical mean value filtering for whole‐brain QSM

Authors: Alexandra G. Roberts; Dominick J. Romano; Mert Şişman; Alexey V. Dimov; Thanh D. Nguyen; Ilhami Kovanlikaya; Susan A. Gauthier; +2 Authors

Maximum spherical mean value filtering for whole‐brain QSM

Abstract

AbstractPurposeTo develop a tissue field‐filtering algorithm, called maximum spherical mean value (mSMV), for reducing shadow artifacts in QSM of the brain without requiring brain‐tissue erosion.Theory and MethodsResidual background field is a major source of shadow artifacts in QSM. The mSMV algorithm filters large field‐magnitude values near the border, where the maximum value of the harmonic background field is located. The effectiveness of mSMV for artifact removal was evaluated by comparing existing QSM algorithms in numerical brain simulation as well as using in vivo human data acquired from 11 healthy volunteers and 93 patients.ResultsNumerical simulation showed that mSMV reduces shadow artifacts and improves QSM accuracy. Better shadow reduction, as demonstrated by lower QSM variation in the gray matter and higher QSM image quality score, was also observed in healthy subjects and in patients with hemorrhages, stroke, and multiple sclerosis.ConclusionThe mSMV algorithm allows QSM maps that are substantially equivalent to those obtained using SMV‐filtered dipole inversion without eroding the volume of interest.

Related Organizations
Keywords

Brain Mapping, Phantoms, Imaging, Image Processing, Computer-Assisted, Humans, Brain, Artifacts, 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!
6
Top 10%
Average
Top 10%
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