[HTML][HTML] Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges
Diffusion magnetic resonance imaging (dMRI) tractography is currently the only imaging
technique that allows for non-invasive delineation and visualisation of white matter (WM) …
technique that allows for non-invasive delineation and visualisation of white matter (WM) …
[HTML][HTML] Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
White matter bundle segmentation using diffusion MRI fiber tractography has become the
method of choice to identify white matter fiber pathways in vivo in human brains. However …
method of choice to identify white matter fiber pathways in vivo in human brains. However …
[HTML][HTML] Diffusion MRI and anatomic tracing in the same brain reveal common failure modes of tractography
Anatomic tracing is recognized as a critical source of knowledge on brain circuitry that can
be used to assess the accuracy of diffusion MRI (dMRI) tractography. However, most prior …
be used to assess the accuracy of diffusion MRI (dMRI) tractography. However, most prior …
A critical review of connectome validation studies
T Sarwar, K Ramamohanarao… - NMR in Biomedicine, 2021 - Wiley Online Library
Diffusion MRI tractography is the most widely used macroscale method for mapping
connectomes in vivo. However, tractography is prone to various errors and biases, and thus …
connectomes in vivo. However, tractography is prone to various errors and biases, and thus …
[HTML][HTML] Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization …
When investigating connectivity and microstructure of white matter pathways of the brain
using diffusion tractography bundle segmentation, it is important to understand potential …
using diffusion tractography bundle segmentation, it is important to understand potential …
[HTML][HTML] Enhancing the estimation of fiber orientation distributions using convolutional neural networks
Local fiber orientation distributions (FODs) can be computed from diffusion magnetic
resonance imaging (dMRI). The accuracy and ability of FODs to resolve complex fiber …
resonance imaging (dMRI). The accuracy and ability of FODs to resolve complex fiber …
Equivariant spherical deconvolution: Learning sparse orientation distribution functions from spherical data
We present a rotation-equivariant self-supervised learning framework for the sparse
deconvolution of non-negative scalar fields on the unit sphere. Spherical signals with …
deconvolution of non-negative scalar fields on the unit sphere. Spherical signals with …
[HTML][HTML] High-fidelity approximation of grid-and shell-based sampling schemes from undersampled DSI using compressed sensing: Post mortem validation
While many useful microstructural indices, as well as orientation distribution functions, can
be obtained from multi-shell dMRI data, there is growing interest in exploring the richer set of …
be obtained from multi-shell dMRI data, there is growing interest in exploring the richer set of …
In vivo restricted diffusion imaging (RDI) is sensitive to differences in axonal density in typical children and adults
The ability to dissociate axonal density in vivo from other microstructural properties is
important for the diagnosis and treatment of neurologic disease, and new methods to do so …
important for the diagnosis and treatment of neurologic disease, and new methods to do so …
An efficient scheme for sampling in constrained domains
S Chaudhry, D Lautzenheiser, K Ghosh - arXiv preprint arXiv:2110.10840, 2021 - arxiv.org
The creation of optimal samplers can be a challenging task, especially in the presence of
constraints on the support of parameters. One way of mitigating the severity of this challenge …
constraints on the support of parameters. One way of mitigating the severity of this challenge …