TY  - JOUR
AU  - Ali, Sharib
AU  - Wörz, Stefan
AU  - Amunts, Katrin
AU  - Eils, Roland
AU  - Axer, Markus
AU  - Rohr, Karl
TI  - Rigid and non-rigid registration of polarized light imaging data for 3D reconstruction of the temporal lobe of the human brain at micrometer resolution
JO  - NeuroImage
VL  - 181
SN  - 1053-8119
CY  - Orlando, Fla.
PB  - Academic Press
M1  - FZJ-2018-05013
SP  - 235-251
PY  - 2018
AB  - To understand the spatial organization as well as long- and short-range connections of the human brain at microscopic resolution, 3D reconstruction of histological sections is important. We approach this challenge by reconstructing series of unstained histological sections of multi-scale (1:3 μm and 64 μm) and multi-modal 3D polarized light imaging (3D-PLI) data. Since spatial coherence is lost during the sectioning procedure, image registration is the major step in 3D reconstruction. We propose a non-rigid registration method which comprises of a novel multi-modal similarity metric and an improved regularization scheme to cope with deformations inevitably introduced during the sectioning procedure, as well as a rigid registration approach using a robust similarity metric for improved initial alignment. We also introduce a multi-scale feature-based localization and registration approach for mapping of 1:3 μm sections to 64 μm sections and a scale-adaptive method that can handle challenging sections with large semi-global deformations due to tissue splits. We have applied our registration method to 126 consecutive sections of the temporal lobe of the human brain with 64 μm and 1:3 μm resolution. Each step of the registration method was quantitatively evaluated using 10 different sections and manually determined ground truth, and a quantitative comparison with previous methods was performed. Visual assessment of the reconstructed volumes and comparison with reference volumes confirmed the high quality of the registration result.
LB  - PUB:(DE-HGF)16
C6  - pmid:30018015
UR  - <Go to ISI:>//WOS:000445165600021
DO  - DOI:10.1016/j.neuroimage.2018.06.084
UR  - https://juser.fz-juelich.de/record/851327
ER  -