This title appears in the Scientific Report :
2019
Please use the identifier:
http://dx.doi.org/10.1007/978-3-658-25326-4_73 in citations.
Efficient construction of geometric nerve fiber models for simulation with 3D-PLI
Efficient construction of geometric nerve fiber models for simulation with 3D-PLI
3D-Polarized Light Imaging is an unique technique used to reconstruct nerve fiber orientations of post-mortem brains at ultra-high resolution. To continuously improve the current physical model of 3D-PLI, simulations are powerful methods. Since the creation of simulated data can be time consuming, w...
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Personal Name(s): | Reuter, Jan Andre (Corresponding author) |
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Matuschke, Felix / Schubert, Nicole / Axer, Markus | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Published in: | S. 356 |
Published in: |
Bildverarbeitung für die Medizin 2019 |
Imprint: |
Berlin, Heidelberg
Springer
2019
|
Physical Description: |
333-339 |
ISBN: |
978-3-658-25326-4 |
DOI: |
10.1007/978-3-658-25326-4_73 |
Conference: | Bildverarbeitung für die Medizin, Lübeck (Germany), 2019-03-17 - 2019-03-19 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Human Brain Project Specific Grant Agreement 2 Theory, modelling and simulation |
Series Title: |
Handbook of Experimental Pharmacology
|
Publikationsportal JuSER |
3D-Polarized Light Imaging is an unique technique used to reconstruct nerve fiber orientations of post-mortem brains at ultra-high resolution. To continuously improve the current physical model of 3D-PLI, simulations are powerful methods. Since the creation of simulated data can be time consuming, we developed a tool which enables fast and efficient creation of synthetic fiber data using parametric functions and interpolation methods. Performance tests showed that every component of the program scales linearly with the amount of fiber points while the reconstructed fiber cup phantom and optic chiasm-like crossing fiber models reproduce known effects known from 3D-PLI measurements. |