TY  - CONF
AU  - Schmitz, Daniel
AU  - Amunts, Katrin
AU  - Lippert, Thomas
AU  - Axer, Markus
TI  - A least squares approach for the reconstruction of nerve fiber orientations from tiltable specimen experiments in 3D-PLI
CY  - [Piscataway, NJ]
PB  - IEEE
M1  - FZJ-2018-06388
SN  - 978-1-5386-3636-7
SP  - 132 - 135
PY  - 2018
AB  - 3D-Polarized Light Imaging has become a unique technique to study the fiber architecture of unstained brain sections at the meso- and microscale. It exploits the intrinsic birefringence of nerve fibers which is measured with a customized Polarimeter in which the brain section is placed on a tiltable specimen stage. So far, a computationally fast analytical method based on the discrete Fourier transformation to analyze the data acquired with the tiltable specimen stage has been used. In this study, we propose a new algorithm based on a fitting approach which provides an improved stability against measurement noise resulting in a more realistic orientation interpretation, in particular for low signals. For the first time, it is demonstrated how fiber courses at the boundary of white and grey matter can robustly be reconstructed with 3D-PLI. This significantly improves the reliability of mapping the cortex based on 3D-PLI data.
T2  - 2018 IEEE 15th International Symposium on Biomedical Imaging
CY  - 4 Apr 2018 - 7 Apr 2018, Washington (DC)
Y2  - 4 Apr 2018 - 7 Apr 2018
M2  - Washington, DC
KW  - Medizin (gnd)
KW  - Bildgebendes Verfahren (gnd)
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1109/ISBI.2018.8363539
UR  - https://juser.fz-juelich.de/record/857144
ER  -