Literature DB >> 21513807

Susceptibility phase imaging with comparison to R2 mapping of iron-rich deep grey matter.

Andrew J Walsh1, Alan H Wilman.   

Abstract

Magnetic resonance imaging with susceptibility phase is seeing increasing use, especially at high magnetic fields. Tissue susceptibility can produce unique phase contrast for qualitative or quantitative imaging of iron-rich deep grey matter. However, phase imaging has several established sources of error including inherent susceptibility field effects and artifacts from background phase removal. These artifacts have led to inconsistent findings in past works relating iron to phase in healthy deep grey matter. This study seeks to determine the relative artifactual contributions from inherent susceptibility fields and from high pass phase filtering, currently the most common and accessible background phase removal method. In simulation, phase is compared to a known susceptibility distribution, while R2 maps are used as the in vivo gold standard surrogate for iron in healthy volunteers. The results indicate phase imaging depends highly on filtering, structure size, shape and local environment. Using in vivo phase and R2 profiles, it is shown that different filtering values, commonly seen in the literature, can lead to substantially different phase measures. Correlations between phase and R2 mapping are shown to be highly variable between structures. For example, using a standard filter of 0.125 the slopes and correlation coefficients were 4.28×10(-4) ppm s and R=0.88 for the putamen, 0.81×10(-4) ppm s and R=0.08 for the globus pallidus, 5.48×10(-4) ppm s and R=0.72 for the red nucleus, and -14.64×10(-4) ppm s and R=0.54 for the substantia nigra. To achieve the most effective correlation to R2 we recommend using a filter width of 0.094 for the globus pallidus and putamen and 0.125 for the substantia nigra and red nucleus. The baseline phase measure should be obtained directly adjacent to the substantia nigra, and red nucleus to yield the most accurate phase values as demonstrated in simulation and in vivo. Different regression slopes are seen between subROIs within structures suggesting that regional iron accumulation within a structure is best studied with subROIs between different subject groups, not differences in phase values relative to the overall phase in one structure. Phase imaging with the standard high pass filter method has the potential to differentiate subtle iron changes in pathological processes compared to normal tissues with more reliability if specific filter strengths and measurement areas are appropriately applied on a structure dependent basis.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21513807     DOI: 10.1016/j.neuroimage.2011.04.017

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  11 in total

Review 1.  Contributions to magnetic susceptibility of brain tissue.

Authors:  Jeff H Duyn; John Schenck
Journal:  NMR Biomed       Date:  2016-05-30       Impact factor: 4.044

2.  A multicontrast approach for comprehensive imaging of substantia nigra.

Authors:  Jason Langley; Daniel E Huddleston; Xiangchuan Chen; Jan Sedlacik; Nishant Zachariah; Xiaoping Hu
Journal:  Neuroimage       Date:  2015-02-28       Impact factor: 6.556

Review 3.  Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Hoda Zare
Journal:  BMC Neurosci       Date:  2022-07-28       Impact factor: 3.264

4.  Susceptibility MRI captures nigral pathology in patients with parkinsonian syndromes.

Authors:  Mechelle M Lewis; Guangwei Du; Jennifer Baccon; Amanda M Snyder; Ben Murie; Felicia Cooper; Christy Stetter; Lan Kong; Christopher Sica; Richard B Mailman; James R Connor; Xuemei Huang
Journal:  Mov Disord       Date:  2018-05-14       Impact factor: 10.338

5.  Distinct progression pattern of susceptibility MRI in the substantia nigra of Parkinson's patients.

Authors:  Guangwei Du; Mechelle M Lewis; Christopher Sica; Lu He; James R Connor; Lan Kong; Richard B Mailman; Xuemei Huang
Journal:  Mov Disord       Date:  2018-05-14       Impact factor: 10.338

6.  Effect of age on MRI phase behavior in the subcortical deep gray matter of healthy individuals.

Authors:  J Hagemeier; M G Dwyer; N Bergsland; F Schweser; C R Magnano; M Heininen-Brown; D P Ramasamy; E Carl; C Kennedy; R Melia; P Polak; A Deistung; J J G Geurts; J R Reichenbach; R Zivadinov
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-30       Impact factor: 3.825

7.  Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study.

Authors:  Christian Langkammer; Ferdinand Schweser; Nikolaus Krebs; Andreas Deistung; Walter Goessler; Eva Scheurer; Karsten Sommer; Gernot Reishofer; Kathrin Yen; Franz Fazekas; Stefan Ropele; Jürgen R Reichenbach
Journal:  Neuroimage       Date:  2012-05-24       Impact factor: 6.556

Review 8.  Brain pathological changes during neurodegenerative diseases and their identification methods: How does QSM perform in detecting this process?

Authors:  Farzaneh Nikparast; Zohreh Ganji; Mohammad Danesh Doust; Reyhane Faraji; Hoda Zare
Journal:  Insights Imaging       Date:  2022-04-13

9.  Assessment of iron deposition and white matter maturation in infant brains by using enhanced T2 star weighted angiography (ESWAN): R2* versus phase values.

Authors:  Ning Ning; Lei Zhang; Jie Gao; Yumiao Zhang; Zhuanqin Ren; Gang Niu; Yongming Dai; Ed X Wu; Youmin Guo; Jian Yang
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

10.  In vivo quantitative susceptibility mapping (QSM) in Alzheimer's disease.

Authors:  Julio Acosta-Cabronero; Guy B Williams; Arturo Cardenas-Blanco; Robert J Arnold; Victoria Lupson; Peter J Nestor
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

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