How and how not to correct for CSF-contamination in diffusion MRI

Metzler‐Baddeley, Claudia; O’Sullivan, Michael; Bells, Sonya; Pasternak, Ofer; Jones, Derek K.

doi:10.1016/j.neuroimage.2011.08.043

Cited by 276 publications

(325 citation statements)

References 51 publications

Supporting

Mentioning

315

Contrasting

Order By: Relevance

“…However, the water diffusion, and ,therefore, the value of FA, are sensitive to different tissue properties, such as axon diameter, packing density, membrane permeability, myelination or number of axons in a voxel. Therefore, one must be cautious when interpreting a difference in FA, as many white matter microstructure changes may have similar effect on these measurements [21,22]. Brain development is characterized by both progressive myelination and regressive pruning processes.…”

Section: Discussionmentioning

confidence: 99%

A new approach to corpus callosum anomalies in idiopathic scoliosis using diffusion tensor magnetic resonance imaging

et al. 2014

View full text Add to dashboard Cite

Purpose Idiopathic scoliosis (IS) is a frequent 3D structural deformity of the spine with a multi-factorial aetiology which remains largely unclear. In the last decade, human magnetic resonance imaging (MRI) morphometry studies (e.g. cortical thickness, 2D shape of the corpus callosum) have aimed to investigate the potential contribution of the central nervous system in the etiopathogenesis of IS. Recent developments in diffusion tensor imaging (DTI) allow us to extend the previous work to the study of white matter microstructure. Here, we hypothesized that part of the corpus callosum could show a difference in white matter microstructure in IS patients as compared to healthy controls.Methods We acquired DTI in 10 girls with IS and in 49 gender-matched controls to quantify the fractional anisotropy (FA) along the corpus callosum. Results Despite a very similar pattern of FA along the corpus callosum (maxima in the splenium and the genu and minimum in the isthmus), we found a significantly lower FA in the body in patients with IS as compared to control subjects. This region is known to connect the motor and premotor cortices of the two hemispheres. Conclusion This first diffusion magnetic resonance imaging brain study in IS patients, suggests that differences in white matter development, such as synchronization of axonal myelination and pruning could be involved in the etiopathogenesis of IS.

show abstract

Section: Discussionmentioning

confidence: 99%

A new approach to corpus callosum anomalies in idiopathic scoliosis using diffusion tensor magnetic resonance imaging

et al. 2014

View full text Add to dashboard Cite

show abstract

“…A two compartment model using the Free Water Elimination (FWE) approach (Pasternak et al., 2009) to correct for any partial volume artifacts in the diffusion metrics (Metzler‐Baddeley, O'Sullivan, Bells, Pasternak, & Jones, 2012) was fitted to derive maps of FA, RD and f (Metzler‐Baddeley, O'Sullivan, et al., 2012; Pasternak et al., 2009). …”

Section: Methodsmentioning

confidence: 99%

Topographic separation of fornical fibers associated with the anterior and posterior hippocampus in the human brain: An MRI‐diffusion study

et al. 2016

Self Cite

View full text Add to dashboard Cite

Background and ObjectiveEvidence from rat and nonhuman primate studies indicates that axons comprising the fornix have a characteristic topographical organization: projections from the temporal/anterior hippocampus mainly occupy the lateral fornix, whereas the more medial fornix contains fibers from the septal/posterior hippocampus. The aim of this study was to investigate whether the same topographical organization exists in the human brain.MethodsUsing high angular resolution diffusion MRI‐based tractography at 3T, subdivisions of the fornix were reconstructed in 40 healthy adults by selecting fiber pathways from either the anterior or the posterior hippocampus.ResultsThe tract reconstructions revealed that anterior hippocampal fibers predominantly comprise the lateral body of the fornix, whereas posterior fibers make up the medial body of the fornix. Quantitative analyses support this medial:lateral distinction in humans, which matches the topographical organization of the fornix in other primates.ConclusionThis novel tractography protocol enables the separation of fornix fibers from anterior and posterior hippocampal regions in the human brain and, hence, provides a means by which to compare functions associated with different sets of connections along the longitudinal axis of the hippocampus.

show abstract

“…This is a mixture-model approach, that generates the diffusion parameter estimates for the entire volume simultaneously, instead of per voxel. For the case of two tissue classes, this reduces to the signal model in [1].…”

Section: Theorymentioning

confidence: 99%

“…This approach works well in large regions, where we can erode a probabilistic segmentation to obtain voxels that are fully within the tissue. But, the diffusion parameters within structures such as the fornix -a narrow white matter structure surrounded by cerebrospinal fluid -may not be measured by this approach [1]. Because of the large scale of diffusion MRI voxels relative to the fornix a majority of, and perhaps all, voxels will contain partial volume.…”

Section: Introductionmentioning

confidence: 99%

Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume

Eaton-Rosen

Melbourne

Cardoso

et al. 2016

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Diffusion MRI is a frequently-used imaging modality that is used to infer microstructural properties of tissue, down to the scale of microns. For single-compartment models, such as the diffusion tensor, the interpretation of the models depends on the voxels having homogeneous tissue. This limitation makes it difficult to directly measure diffusion parameters for small structures such as the fornix, which may have partial volume in every voxel. In this work, we use a segmentation from a structural scan to calculate the tissue composition for each voxel in diffusion space. We model the signal from a voxel as a linear combination of the signals from these components, and thus fit parameters on a per-region basis. Fitting diffusion parameters to all regions, simultaneously, bolsters the data for small regions, which allows accurate estimation of the diffusion parameters. We test the proposed method by using diffusion data from the HCP. We downsample the HCP data, and show that our method returns parameter estimates that are closer to the high-resolution ground truths than region-of-interest methods. We apply our technique to the diffusion parameters in the fornix for adults born extremely preterm and matched controls. We show that our method estimates diffusion parameters accurately for structures that are small, compared to a typical diffusion MRI resolution.

show abstract

How and how not to correct for CSF-contamination in diffusion MRI

Cited by 276 publications

References 51 publications

A new approach to corpus callosum anomalies in idiopathic scoliosis using diffusion tensor magnetic resonance imaging

A new approach to corpus callosum anomalies in idiopathic scoliosis using diffusion tensor magnetic resonance imaging

Topographic separation of fornical fibers associated with the anterior and posterior hippocampus in the human brain: An MRI‐diffusion study

Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume

Contact Info

Product

Resources

About