GORDA: Graph-based ORientation Distribution Analysis of SLI
scatterometry Patterns of Nerve Fibres
- URL: http://arxiv.org/abs/2204.05776v1
- Date: Tue, 12 Apr 2022 13:02:45 GMT
- Title: GORDA: Graph-based ORientation Distribution Analysis of SLI
scatterometry Patterns of Nerve Fibres
- Authors: Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo
Dickscheid
- Abstract summary: Scattered Light Imaging (SLI) is a novel approach for microscopically revealing the fibre architecture of unstained brain sections.
We propose an unsupervised learning approach using spherical convolutions for estimating the 3D orientation of neural fibres.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Scattered Light Imaging (SLI) is a novel approach for microscopically
revealing the fibre architecture of unstained brain sections. The measurements
are obtained by illuminating brain sections from different angles and measuring
the transmitted (scattered) light under normal incidence. The evaluation of
scattering profiles commonly relies on a peak picking technique and feature
extraction from the peaks, which allows quantitative determination of parallel
and crossing in-plane nerve fibre directions for each image pixel. However, the
estimation of the 3D orientation of the fibres cannot be assessed with the
traditional methodology. We propose an unsupervised learning approach using
spherical convolutions for estimating the 3D orientation of neural fibres,
resulting in a more detailed interpretation of the fibre orientation
distributions in the brain.
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