Free water elimination and mapping from diffusion MRI

By Ofer Pasternak, Nir A. Sochen, Yaniv Gur, N. Intrator, Yaniv Assaf. Magnetic Resonance in Medicine, 2009

1,076 citations recorded by the source corpus.

Subfields: Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c8fe0375f07ef0b20f27fffc2d28d8915df1e887

How researchers see this paper

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

In Pediatrics, Perinatology and Child Health

1. Alexander Leemans
2. Derek K. Jones
3. Thomas R. Knösche
4. Robert Turner
5. Ofer Pasternak
6. Claudia Metzler-Baddeley
7. M. O’Sullivan
8. Sonya Bells

In Radiology, Nuclear Medicine and Imaging

1. Alexander Leemans
2. Derek K. Jones
3. Thomas R. Knösche
4. Hui Zhang
5. Daniel C. Alexander
6. Robert Turner
7. Ofer Pasternak
8. Claudia Metzler-Baddeley

Citations in the corpus

• White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI (2013, methodology): “modeling solution (Pasternak et al., 2009; Pierpaoli and Jones, 2004), over other approaches such as covarying for parenchymal volume.”
• Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, neutral): “Since these data include 2 shells, it should be possible to estimate two compartments, in particular the CSF andWM, providing advantages similar to those obtained by free water elimination (Pasternak et al., 2009).”
• The cingulum bundle: Anatomy, function, and dysfunction (2018, neutral): “the problem of potential CSF partial volume biases in DTI metrics in MCI patients by applying the bi-tensor Free Water Elimination (FWE) model that fits an isotropic and an anisotropic compartment to the dMRI data and allows for the correction of free water contamination in DTI metrics (Pasternak et”
• Imaging brain microstructure with diffusion MRI: practicality and applications (2019, methodology): “[10], the model is extended with a free water compartment [144] to account for in vivo CSF contamination.”
• How and how not to correct for CSF-contamination in diffusion MRI (2012, positive): “In response, Pasternak et al. (2009) proposed the ‘Free Water Elimination’ (FWE) approach, where again two compartments (tissue / CSF) are fitted to the diffusion signal (Eq.”
• Partial volume effect as a hidden covariate in DTI analyses (2011, methodology): “, in Press), or using a two-tensor model (Pierpaoli and Jones, 2004; Pasternak et al., 2009) to remove the CSF contamination during tensor estimation.”