Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas

Joint registration of a stack of 2D histological sections to recover 3D structure (“3D histology reconstruction”) finds application in areas such as atlas building and validation of in vivo imaging. Straightforward pairwise registration of neighbouring sections yields smooth reconstructions but has...

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Bibliographic Details
Main Authors: Casamitjana, A. (Author), Ferraris, S. (Author), Fischl, B. (Author), Iglesias, J.E (Author), Lorenzi, M. (Author), Modat, M. (Author), Peter, L. (Author), Stevens, A. (Author), Vercauteren, T. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
3D histology reconstruction
3D reconstruction
3D Reconstruction
Article
artifact
Bayes theorem
Bayes Theorem
Bayesian networks
brain
Brain
Brain atlas
brain histology
coloring agent
Coloring Agents
deep learning
diagnostic imaging
Dynamic programming
Ex vivo MRI
ex vivo study
Ex-vivo
first cervical vertebra
Histological section
Histology
HTTP
human
Human brain
Humans
image reconstruction
Image reconstruction
Imaging, Three-Dimensional
Inference engines
kernel method
Linear programming
Linear-programming
Magnetic resonance
Magnetic resonance imaging
Magnetic Resonance Imaging
Markov random field
Multi-modal
neuroimaging
Nonlinear registration
nuclear magnetic resonance imaging
Statistics
three-dimensional imaging
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