Literature DB >> 25536496

A method for estimating and removing streaking artifacts in quantitative susceptibility mapping.

Wei Li1, Nian Wang2, Fang Yu3, Hui Han2, Wei Cao4, Rebecca Romero5, Bundhit Tantiwongkosi3, Timothy Q Duong6, Chunlei Liu7.   

Abstract

Quantitative susceptibility mapping (QSM) is a novel MRI method for quantifying tissue magnetic property. In the brain, it reflects the molecular composition and microstructure of the local tissue. However, susceptibility maps reconstructed from single-orientation data still suffer from streaking artifacts which obscure structural details and small lesions. We propose and have developed a general method for estimating streaking artifacts and subtracting them from susceptibility maps. Specifically, this method uses a sparse linear equation and least-squares (LSQR)-algorithm-based method to derive an initial estimation of magnetic susceptibility, a fast quantitative susceptibility mapping method to estimate the susceptibility boundaries, and an iterative approach to estimate the susceptibility artifact from ill-conditioned k-space regions only. With a fixed set of parameters for the initial susceptibility estimation and subsequent streaking artifact estimation and removal, the method provides an unbiased estimate of tissue susceptibility with negligible streaking artifacts, as compared to multi-orientation QSM reconstruction. This method allows for improved delineation of white matter lesions in patients with multiple sclerosis and small structures of the human brain with excellent anatomical details. The proposed methodology can be extended to other existing QSM algorithms.
Copyright © 2014. Published by Elsevier Inc.

Entities:  

Keywords:  High resolution brain imaging; Multiple sclerosis; Quantitative susceptibility mapping; Streaking artifact removal

Mesh:

Year:  2014        PMID: 25536496      PMCID: PMC4406048          DOI: 10.1016/j.neuroimage.2014.12.043

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


  40 in total

1.  High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease.

Authors:  Ashley K Lotfipour; Samuel Wharton; Stefan T Schwarz; V Gontu; Andreas Schäfer; Andrew M Peters; Richard W Bowtell; Dorothee P Auer; Penny A Gowland; Nin P S Bajaj
Journal:  J Magn Reson Imaging       Date:  2011-10-10       Impact factor: 4.813

2.  Susceptibility mapping in the human brain using threshold-based k-space division.

Authors:  Sam Wharton; Andreas Schäfer; Richard Bowtell
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

3.  High-field MRI of brain cortical substructure based on signal phase.

Authors:  Jeff H Duyn; Peter van Gelderen; Tie-Qiang Li; Jacco A de Zwart; Alan P Koretsky; Masaki Fukunaga
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-22       Impact factor: 11.205

4.  Whole brain susceptibility mapping using compressed sensing.

Authors:  Bing Wu; Wei Li; Arnaud Guidon; Chunlei Liu
Journal:  Magn Reson Med       Date:  2011-06-10       Impact factor: 4.668

5.  High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility.

Authors:  Chunlei Liu; Wei Li; G Allan Johnson; Bing Wu
Journal:  Neuroimage       Date:  2011-02-12       Impact factor: 6.556

6.  Morphology enabled dipole inversion (MEDI) from a single-angle acquisition: comparison with COSMOS in human brain imaging.

Authors:  Tian Liu; Jing Liu; Ludovic de Rochefort; Pascal Spincemaille; Ildar Khalidov; James Robert Ledoux; Yi Wang
Journal:  Magn Reson Med       Date:  2011-04-04       Impact factor: 4.668

7.  On the role of neuronal magnetic susceptibility and structure symmetry on gradient echo MR signal formation.

Authors:  Alexander L Sukstanskii; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2013-02-04       Impact factor: 4.668

8.  Imaging neural architecture of the brain based on its multipole magnetic response.

Authors:  Chunlei Liu; Wei Li
Journal:  Neuroimage       Date:  2012-10-29       Impact factor: 6.556

9.  Susceptibility tensor imaging of the kidney and its microstructural underpinnings.

Authors:  Luke Xie; Russell Dibb; Gary P Cofer; Wei Li; Peter J Nicholls; G Allan Johnson; Chunlei Liu
Journal:  Magn Reson Med       Date:  2014-04-02       Impact factor: 4.668

10.  Effects of white matter microstructure on phase and susceptibility maps.

Authors:  Samuel Wharton; Richard Bowtell
Journal:  Magn Reson Med       Date:  2014-03-11       Impact factor: 4.668

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  68 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.  Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range.

Authors:  Hongjiang Wei; Russell Dibb; Yan Zhou; Yawen Sun; Jianrong Xu; Nian Wang; Chunlei Liu
Journal:  NMR Biomed       Date:  2015-08-27       Impact factor: 4.044

3.  Simultaneous quantitative susceptibility mapping (QSM) and R2* for high iron concentration quantification with 3D ultrashort echo time sequences: An echo dependence study.

Authors:  Xing Lu; Yajun Ma; Eric Y Chang; Qun He; Adam Searleman; Annette von Drygalski; Jiang Du
Journal:  Magn Reson Med       Date:  2018-01-04       Impact factor: 4.668

Review 4.  Quantitative Susceptibility Mapping: Concepts and Applications.

Authors:  J R Reichenbach; F Schweser; B Serres; A Deistung
Journal:  Clin Neuroradiol       Date:  2015-07-22       Impact factor: 3.649

5.  Ultrashort echo time quantitative susceptibility mapping (UTE-QSM) for detection of hemosiderin deposition in hemophilic arthropathy: A feasibility study.

Authors:  Hyungseok Jang; Annette von Drygalski; Jonathan Wong; Jenny Y Zhou; Peter Aguero; Xing Lu; Xin Cheng; Scott T Ball; Yajun Ma; Eric Y Chang; Jiang Du
Journal:  Magn Reson Med       Date:  2020-07-14       Impact factor: 4.668

6.  Improved Neuroimaging Atlas of the Dentate Nucleus.

Authors:  Naying He; Jason Langley; Daniel E Huddleston; Huawei Ling; Hongmin Xu; Chunlei Liu; Fuhua Yan; Xiaoping P Hu
Journal:  Cerebellum       Date:  2017-12       Impact factor: 3.847

7.  Structure tensor informed fibre tractography at 3T.

Authors:  Kwok-Shing Chan; David G Norris; José P Marques
Journal:  Hum Brain Mapp       Date:  2018-07-21       Impact factor: 5.038

8.  Measurements of cerebral blood volume using quantitative susceptibility mapping, R2 * relaxometry, and ferumoxytol-enhanced MRI.

Authors:  Leonardo A Rivera-Rivera; Tilman Schubert; Kevin M Johnson
Journal:  NMR Biomed       Date:  2019-09-04       Impact factor: 4.044

9.  Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age.

Authors:  J M G van Bergen; X Li; F C Quevenco; A F Gietl; V Treyer; R Meyer; A Buck; P A Kaufmann; R M Nitsch; P C M van Zijl; C Hock; P G Unschuld
Journal:  Neuroimage       Date:  2018-03-13       Impact factor: 6.556

10.  Dentate nucleus iron deposition is a potential biomarker for tremor-dominant Parkinson's disease.

Authors:  Naying He; Pei Huang; Huawei Ling; Jason Langley; Chunlei Liu; Bei Ding; Juan Huang; Hongmin Xu; Yong Zhang; Zhongping Zhang; Xiaoping Hu; Shengdi Chen; Fuhua Yan
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

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