Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGL

Poirier, Charles; Descoteaux, Maxime; Gilet, Guillaume

doi:10.1007/978-3-030-87615-9_13

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…ASI maps are computed for each resulting image. Symmetric and asymmetric fODF glyphs are also studied in the dmri-explorer application [32]. NuFiD maps are generated using an absolute threshold of 0.1, a relative threshold of 0.3 and a minimum separation angle of 25 degrees for both the input fODF images and the filtered a-fODF images.…”

Section: Asymmetric Patterns In Msmt-csd A-fodfsmentioning

confidence: 99%

A Unified Filtering Method for Estimating Asymmetric Orientation Distribution Functions: Where and How Asymmetry Occurs in the Brain

Poirier

Descoteaux

2022

Preprint

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Numerous filtering methods have been proposed for estimating asymmetric orientation distribution functions (ODFs) for diffusion magnetic resonance imaging (dMRI). It can be hard to make sense of all these different methods, which share similar features and result in similar outputs. Furthermore, these methods are not readily available as part of a software package, further complexifying their usage and adoption as part of a standard processing pipeline. In this work, we propose a novel general filtering equation for estimating asymmetric ODFs by merging together features from these previously proposed filtering methods. Our method is distributed as an open-source GPU-accelerated python software to facilitate its integration into any existing dMRI processing pipeline. Then, we describe a novel measure of the number of fiber directions, an extension of the number of fiber orientations for the case of asymmetric ODFs. We also present a novel template quantifying the degree of asymmetry of the brain from multi-shell multi-tissue white matter fiber ODFs. When applied to full brain fiber ODFs, our method reveals asymmetric configurations, such as bending, branching and fanning ODFs, in more than 40% of the white matter and 70% of the gray matter.

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Section: Asymmetric Patterns In Msmt-csd A-fodfsmentioning

confidence: 99%

A Unified Filtering Method for Estimating Asymmetric Orientation Distribution Functions: Where and How Asymmetry Occurs in the Brain

Poirier

Descoteaux

2022

Preprint

Self Cite

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A taxonomic guide to diffusion MRI tractography visualization tools

Laamoumi,

Hendriks,

Chamberland

2024

NMR in Biomedicine

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Visualizing neuroimaging data is a key step in evaluating data quality, interpreting results, and communicating findings. This survey focuses on diffusion MRI tractography, which has been widely used in both research and clinical domains within the neuroimaging community. With an increasing number of tractography tools and software, navigating this landscape poses a challenge, especially for newcomers. A systematic exploration of a diverse range of features is proposed across 27 research tools, delving into their main purpose and examining the presence or absence of prevalent visualization and interactive techniques. The findings are structured within a proposed taxonomy, providing a comprehensive overview. Insights derived from this analysis will help (novice) researchers, clinicians, and developers in identifying knowledge gaps and navigating the landscape of tractography visualization tools.

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Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGL

Cited by 2 publications

References 18 publications

A Unified Filtering Method for Estimating Asymmetric Orientation Distribution Functions: Where and How Asymmetry Occurs in the Brain

A Unified Filtering Method for Estimating Asymmetric Orientation Distribution Functions: Where and How Asymmetry Occurs in the Brain

A taxonomic guide to diffusion MRI tractography visualization tools

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