Literature DB >> 25248179

Quantitative susceptibility mapping by inversion of a perturbation field model: correlation with brain iron in normal aging.

Clare B Poynton, Mark Jenkinson, Elfar Adalsteinsson, Edith V Sullivan, Adolf Pfefferbaum, William Wells.   

Abstract

There is increasing evidence that iron deposition occurs in specific regions of the brain in normal aging and neurodegenerative disorders such as Parkinson's, Huntington's, and Alzheimer's disease. Iron deposition changes the magnetic susceptibility of tissue, which alters the MR signal phase, and allows estimation of susceptibility differences using quantitative susceptibility mapping (QSM). We present a method for quantifying susceptibility by inversion of a perturbation model, or "QSIP." The perturbation model relates phase to susceptibility using a kernel calculated in the spatial domain, in contrast to previous Fourier-based techniques. A tissue/air susceptibility atlas is used to estimate B0 inhomogeneity. QSIP estimates in young and elderly subjects are compared to postmortem iron estimates, maps of the Field-Dependent Relaxation Rate Increase, and the L1-QSM method. Results for both groups showed excellent agreement with published postmortem data and in vivo FDRI: statistically significant Spearman correlations ranging from Rho=0.905 to Rho=1.00 were obtained. QSIP also showed improvement over FDRI and L1-QSM: reduced variance in susceptibility estimates and statistically significant group differences were detected in striatal and brainstem nuclei, consistent with age-dependent iron accumulation in these regions.

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Mesh:

Year:  2014        PMID: 25248179      PMCID: PMC4404631          DOI: 10.1109/TMI.2014.2358552

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  66 in total

1.  The correlation between phase shifts in gradient-echo MR images and regional brain iron concentration.

Authors:  R J Ogg; J W Langston; E M Haacke; R G Steen; J S Taylor
Journal:  Magn Reson Imaging       Date:  1999-10       Impact factor: 2.546

2.  High-precision mapping of the magnetic field utilizing the harmonic function mean value property.

Authors:  L Li; J S Leigh
Journal:  J Magn Reson       Date:  2001-02       Impact factor: 2.229

3.  Automated Talairach atlas labels for functional brain mapping.

Authors:  J L Lancaster; M G Woldorff; L M Parsons; M Liotti; C S Freitas; L Rainey; P V Kochunov; D Nickerson; S A Mikiten; P T Fox
Journal:  Hum Brain Mapp       Date:  2000-07       Impact factor: 5.038

4.  Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees.

Authors:  Torsten Rohlfing; Calvin R Maurer
Journal:  IEEE Trans Inf Technol Biomed       Date:  2003-03

5.  Three-dimensional numerical simulations of susceptibility-induced magnetic field inhomogeneities in the human head.

Authors:  Trong-Kha Truong; Bradley D Clymer; Donald W Chakeres; Petra Schmalbrock
Journal:  Magn Reson Imaging       Date:  2002-12       Impact factor: 2.546

6.  Fast, automated, N-dimensional phase-unwrapping algorithm.

Authors:  Mark Jenkinson
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

7.  Numerical calculations of the static magnetic field in three-dimensional multi-tissue models of the human head.

Authors:  Christopher M Collins; Bei Yang; Qing X Yang; Michael B Smith
Journal:  Magn Reson Imaging       Date:  2002-06       Impact factor: 2.546

Review 8.  The role of iron and copper in the aetiology of neurodegenerative disorders: therapeutic implications.

Authors:  George Perry; Lawrence M Sayre; Craig S Atwood; Rudolph J Castellani; Adam D Cash; Catherine A Rottkamp; Mark A Smith
Journal:  CNS Drugs       Date:  2002       Impact factor: 5.749

9.  Echogenicity of the substantia nigra: association with increased iron content and marker for susceptibility to nigrostriatal injury.

Authors:  Daniela Berg; Wolfgang Roggendorf; Ute Schröder; Rüdiger Klein; Thomas Tatschner; Peter Benz; Oliver Tucha; Michael Preier; Klaus W Lange; Karlheinz Reiners; Manfred Gerlach; Georg Becker
Journal:  Arch Neurol       Date:  2002-06

Review 10.  Fast robust automated brain extraction.

Authors:  Stephen M Smith
Journal:  Hum Brain Mapp       Date:  2002-11       Impact factor: 5.038

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  9 in total

1.  QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.

Authors:  Yicheng Chen; Angela Jakary; Sivakami Avadiappan; Christopher P Hess; Janine M Lupo
Journal:  Neuroimage       Date:  2019-11-21       Impact factor: 6.556

2.  Distribution of brain iron accrual in adolescence: Evidence from cross-sectional and longitudinal analysis.

Authors:  Eric T Peterson; Dongjin Kwon; Beatriz Luna; Bart Larsen; Devin Prouty; Michael D De Bellis; James Voyvodic; Chunlei Liu; Wei Li; Kilian M Pohl; Edith V Sullivan; Adolf Pfefferbaum
Journal:  Hum Brain Mapp       Date:  2018-11-29       Impact factor: 5.038

3.  Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds.

Authors:  Matthew J Cronin; Nian Wang; Kyle S Decker; Hongjiang Wei; Wen-Zhen Zhu; Chunlei Liu
Journal:  Neuroimage       Date:  2017-01-23       Impact factor: 6.556

4.  Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping.

Authors:  Zhe Liu; Youngwook Kee; Dong Zhou; Yi Wang; Pascal Spincemaille
Journal:  Magn Reson Med       Date:  2016-07-28       Impact factor: 4.668

Review 5.  Appraising the Role of Iron in Brain Aging and Cognition: Promises and Limitations of MRI Methods.

Authors:  Ana M Daugherty; Naftali Raz
Journal:  Neuropsychol Rev       Date:  2015-08-07       Impact factor: 7.444

6.  In Vivo MRI Mapping of Brain Iron Deposition across the Adult Lifespan.

Authors:  Julio Acosta-Cabronero; Matthew J Betts; Arturo Cardenas-Blanco; Shan Yang; Peter J Nestor
Journal:  J Neurosci       Date:  2016-01-13       Impact factor: 6.167

7.  Stability of R2* and quantitative susceptibility mapping of the brain tissue in a large scale multi-center study.

Authors:  Rongpin Wang; Guangyou Xie; Maoxiong Zhai; Zhongping Zhang; Bing Wu; Dandan Zheng; Nan Hong; Tao Jiang; Baohong Wen; Jingliang Cheng
Journal:  Sci Rep       Date:  2017-03-28       Impact factor: 4.379

Review 8.  Significance and In Vivo Detection of Iron-Laden Microglia in White Matter Multiple Sclerosis Lesions.

Authors:  Kelly M Gillen; Mayyan Mubarak; Thanh D Nguyen; David Pitt
Journal:  Front Immunol       Date:  2018-02-19       Impact factor: 7.561

9.  Mutant huntingtin induces iron overload via up-regulating IRP1 in Huntington's disease.

Authors:  Li Niu; Cuifang Ye; Yun Sun; Ting Peng; Shiming Yang; Weixi Wang; He Li
Journal:  Cell Biosci       Date:  2018-07-04       Impact factor: 7.133

  9 in total

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