Literature DB >> 24395595

Background field removal by solving the Laplacian boundary value problem.

Dong Zhou1, Tian Liu, Pascal Spincemaille, Yi Wang.   

Abstract

The removal of the background magnetic field is a critical step in generating phase images and quantitative susceptibility maps, which have recently been receiving increasing attention. Although it is known that the background field satisfies Laplace's equation, the boundary values of the background field for the region of interest have not been explicitly addressed in the existing methods, and they are not directly available from MRI measurements. In this paper, we assume simple boundary conditions and remove the background field by explicitly solving the boundary value problems of Laplace's or Poisson's equation. The proposed Laplacian boundary value (LBV) method for background field removal retains data near the boundary and is computationally efficient. Tests on a numerical phantom and an experimental phantom showed that LBV was more accurate than two existing methods.
Copyright © 2014 John Wiley & Sons, Ltd.

Keywords:  Laplace's equation; Poisson's equation; background field removal; boundary value problem of partial differential equation (PDE); full multigrid (FMG) algorithm; phase imaging; quantitative susceptibility mapping (QSM); susceptibility weighted imaging (SWI)

Mesh:

Year:  2014        PMID: 24395595     DOI: 10.1002/nbm.3064

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  56 in total

1.  Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM).

Authors:  Daniel Polak; Itthi Chatnuntawech; Jaeyeon Yoon; Siddharth Srinivasan Iyer; Carlos Milovic; Jongho Lee; Peter Bachert; Elfar Adalsteinsson; Kawin Setsompop; Berkin Bilgic
Journal:  NMR Biomed       Date:  2020-02-20       Impact factor: 4.044

2.  Automated adaptive preconditioner for quantitative susceptibility mapping.

Authors:  Zhe Liu; Yan Wen; Pascal Spincemaille; Shun Zhang; Yihao Yao; Thanh D Nguyen; Yi Wang
Journal:  Magn Reson Med       Date:  2019-08-11       Impact factor: 4.668

Review 3.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

4.  Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain.

Authors:  Jinsheng Fang; Lijun Bao; Xu Li; Peter C M van Zijl; Zhong Chen
Journal:  J Magn Reson       Date:  2017-05-10       Impact factor: 2.229

5.  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

6.  Elevated brain oxygen extraction fraction measured by MRI susceptibility relates to perfusion status in acute ischemic stroke.

Authors:  Audrey P Fan; Ahmed A Khalil; Jochen B Fiebach; Greg Zaharchuk; Arno Villringer; Kersten Villringer; Claudine J Gauthier
Journal:  J Cereb Blood Flow Metab       Date:  2019-02-07       Impact factor: 6.200

7.  Multicenter reproducibility of quantitative susceptibility mapping in a gadolinium phantom using MEDI+0 automatic zero referencing.

Authors:  Kofi Deh; Keigo Kawaji; Marjolein Bulk; Louise Van Der Weerd; Emelie Lind; Pascal Spincemaille; Kelly McCabe Gillen; Johan Van Auderkerke; Yi Wang; Thanh D Nguyen
Journal:  Magn Reson Med       Date:  2018-10-04       Impact factor: 4.668

Review 8.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

9.  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

10.  Age and sex related differences in subcortical brain iron concentrations among healthy adults.

Authors:  Ninni Persson; Jianlin Wu; Qing Zhang; Ting Liu; Jing Shen; Ruyi Bao; Mingfei Ni; Tian Liu; Yi Wang; Pascal Spincemaille
Journal:  Neuroimage       Date:  2015-07-26       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.