Contribution to a conference proceedings/Contribution to a book FZJ-2019-02311

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Tracing of Nerve Fibers Through Brain Regions of Fiber Crossings in Reconstructed 3D-PLI Volumes

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2019
Springer Berlin, Heidelberg

Bildverarbeitung für die Medizin 2019
Bildverarbeitung für die Medizin, LübeckLübeck, Germany, 17 Mar 2019 - 19 Mar 20192019-03-172019-03-19
Berlin, Heidelberg : Springer 62 - 67 () [10.1007/978-3-658-25326-4_17]

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Abstract: Three-dimensional (3D) polarized light imaging (PLI) is able to reveal nerve fibers in the human brain at microscopic resolution. While most nerve fiber structures can be accurately visualized with 3D-PLI, the currently used physical model (based on Jones Calculus) is not well suited to distinguish steep fibers from specific fiber crossings. Hence, streamline tractography algorithms tracing fiber pathways get easily misdirected in such brain regions. For the presented study, we implemented and applied two methods to bridge areas of fiber crossings: (i) extrapolation of fiber points with cubic splines and (ii) following the most frequently occurring orientations in a defined neighborhood based on orientation distribution functions gained from 3D-PLI measurements (pliODFs). Applied to fiber crossings within a human hemisphere, reconstructed from 3D-PLI measurements at 64 microns in-pane resolution, both methods were demonstrated to sustain their initial tract direction throughout the crossing region. In comparison, the ODF-method offered a more reliable bridging of the crossings with less gaps.


Contributing Institute(s):
  1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
  2. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
  2. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
  3. SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)
  4. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2019
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 Record created 2019-03-29, last modified 2021-01-30



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