Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging

By L. de Rochefort, Tian Liu, B. Kressler, Jing Liu, P. Spincemaille, V. Lebon, Jianlin Wu, Yi Wang. Magnetic Resonance in Medicine, 2010

702 citations recorded by the source corpus.

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/db4bff92c82f4cbc516b0ab1d72bc71f2eb1a922

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Radiology, Nuclear Medicine and Imaging

1. Berkin Bilgic
2. Tian Liu
3. Adolf Pfefferbaum
4. Edith V. Sullivan
5. Elfar Adalsteinsson
6. Ferdinand Schweser
7. Andreas Deistung
8. Chunlei Liu

Citations in the corpus

• Quantitative susceptibility mapping using deep neural network: QSMnet (2018, background): “…using MRI has received much attention due to its potentials for the clinical diagnosis of diseases and the quantification of susceptibility sources (Duyn, 2013; Liu et al., 2015; Shmueli et al., 2009; Wang and Liu, 2015). ul National University, Building 301, Room, 1008, 1 Gwanak-ro,…”
• A method for estimating and removing streaking artifacts in quantitative susceptibility mapping (2014, neutral): “Rochefort et al., 2010; Kressler et al., 2010; Li et al., 2011; Liu et al., 2009, 2011b; Schweser et al., 2011b; Shmueli et al., 2009; Wharton et al., 2010;Wu et al., 2012).”
• Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping (2013, methodology): “Currently, unreliable phase values are either ignored by masking out (16) or approximated as contaminated by normally distributed random noise (6,7,14), leading to artifacts in the reconstructed QSM.”
• MRI Estimates of Brain Iron Concentration in Normal Aging Using Quantitative Susceptibility Mapping (2011, methodology): “N IH -PA Author M anuscript N IH -PA Author M anuscript N IH -PA Author M anuscript (de Rochefort et al., 2010).”
• Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: An approach to in vivo brain iron metabolism? (2011, methodology): “Recently, ambitious approaches were presented for solving this challenging inverse problem to generate susceptibility maps (de Rochefort et al., 2010; Schweser et al., 2010a; Wharton et al., 2010, and references therein).”
• Quantitative Susceptibility Mapping of Human Brain Reflects Spatial Variation in Tissue Composition (2011, background): “These results are in good agreement with previous studies (de Rochefort et al., 2010; Wharton et al., 2010).”
• Morphology Enabled Dipole Inversion for Quantitative Susceptibility Mapping Using Structural Consistency Between the Magnitude Image and the Susceptibility Map (2011, positive): “A Gadolinium (Gd) phantom was designed for experimental validation (de Rochefort et al., 2010).”