TY - GEN
T1 - Independent Component Analysis for Noise and Artifact Removal in Three-Dimensional Polarized Light Imaging
AU - Benning, Kai
AU - Menzel, Miriam
AU - Reuter, Jan André
AU - Axer, Markus
PY - 2021
Y1 - 2021
N2 - In recent years, Independent Component Analysis (ICA) has successfully been applied to remove noise and artifacts in images obtained from Three-dimensional Polarized Light Imaging (3D-PLI) at the mesoscale (i.e., 64 μ m). Here, we present an automatic denoising procedure for gray matter regions that allows to apply the ICA also to microscopic images, with reasonable computational effort. Apart from an automatic segmentation of gray matter regions, we applied the denoising procedure to several 3D-PLI images from a rat and a vervet monkey brain section.
AB - In recent years, Independent Component Analysis (ICA) has successfully been applied to remove noise and artifacts in images obtained from Three-dimensional Polarized Light Imaging (3D-PLI) at the mesoscale (i.e., 64 μ m). Here, we present an automatic denoising procedure for gray matter regions that allows to apply the ICA also to microscopic images, with reasonable computational effort. Apart from an automatic segmentation of gray matter regions, we applied the denoising procedure to several 3D-PLI images from a rat and a vervet monkey brain section.
UR - http://www.scopus.com/inward/record.url?scp=85113344384&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-82427-3_7
DO - 10.1007/978-3-030-82427-3_7
M3 - Conference contribution
AN - SCOPUS:85113344384
SN - 9783030824266
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 102
BT - Brain-Inspired Computing - 4th International Workshop, BrainComp 2019, Revised Selected Papers
A2 - Amunts, Katrin
A2 - Grandinetti, Lucio
A2 - Lippert, Thomas
A2 - Petkov, Nicolai
PB - Springer
T2 - 4th International Workshop on Brain-Inspired Computing, BrainComp 2019
Y2 - 15 July 2019 through 19 July 2019
ER -