Three-dimensional histological imaging of primate brain and correlation with in vivo medical device images

The 3D reconstruction of series of histological slices is an imaging technique that appeared about 25 years ago but that is only starting now to become recognized as an imaging modality per se. Thanks to this technique, it becomes possible to restore the spatial consistency of the brain and to match accurately histological slices with an in vivo medical device image such as an MRI or a PET scan. This is of high interest since it allows direct comparison between the histology, often considered as the gold standard in terms of information, and the same medical devices used in clinical routine to image human patients. Thanks to the similarity of their brain with humans and the disease models widely developed for them, non-human primates are privileged species to benefit from this possibility of 3D analysis and in vivo - post mortem correlation. We present in this article a state of the art review of the main techniques proposed to achieve this original imaging technique, followed by a set of some particularly promising neuroimaging applications.

[1]  L. R. Dice Measures of the Amount of Ecologic Association Between Species , 1945 .

[2]  Alain Pitiot,et al.  Piecewise affine registration of biological images for volume reconstruction , 2006, Medical Image Anal..

[3]  Charles R. Meyer,et al.  Mutual Information for Automated Unwarping of Rat Brain Autoradiographs , 1997, NeuroImage.

[4]  F. S. Cohen,et al.  Automatic matching of homologous histological sections , 1998, IEEE Transactions on Biomedical Engineering.

[5]  Christos Davatzikos,et al.  Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..

[6]  M. Mallar Chakravarty,et al.  The creation of a brain atlas for image guided neurosurgery using serial histological data , 2006, NeuroImage.

[7]  J Streicher,et al.  External marker‐based automatic congruencing: A new method of 3D reconstruction from serial sections , 1997, The Anatomical record.

[8]  Paul A. Viola,et al.  Alignment by Maximization of Mutual Information , 1995, Proceedings of IEEE International Conference on Computer Vision.

[9]  Sébastien Ourselin,et al.  Reconstructing a 3D structure from serial histological sections , 2001, Image Vis. Comput..

[10]  Christopher S von Bartheld,et al.  Differential tissue shrinkage and compression in the z-axis: implications for optical disector counting in vibratome-, plastic- and cryosections , 2003, Journal of Neuroscience Methods.

[11]  Grégoire Malandain,et al.  Fusion of autoradiographs with an MR volume using 2-D and 3-D linear transformations , 2004, NeuroImage.

[12]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..

[13]  Paul M. Thompson,et al.  A surface-based technique for warping three-dimensional images of the brain , 1996, IEEE Trans. Medical Imaging.

[14]  Nicholas Ayache,et al.  A three-dimensional histological atlas of the human basal ganglia. II. Atlas deformation strategy and evaluation in deep brain stimulation for Parkinson disease. , 2009, Journal of neurosurgery.

[15]  T Schormann,et al.  Three‐Dimensional linear and nonlinear transformations: An integration of light microscopical and MRI data , 1998, Human brain mapping.

[16]  Arthur W. Toga,et al.  High-Resolution Anatomy from in Situ Human Brain , 1994, NeuroImage.

[17]  Lyndon S. Hibbard,et al.  Objective image alignment for three-dimensional reconstruction of digital autoradiograms , 1988, Journal of Neuroscience Methods.

[18]  Sébastien Ourselin,et al.  A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data , 2007, NeuroImage.

[19]  Haruhiko Kishima,et al.  Functional Recovery in a Primate Model of Parkinson's Disease following Motor Cortex Stimulation , 2004, Neuron.

[20]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[21]  N. E. Larsen,et al.  Computer-assisted alignment of standard serial sections without use of artificial landmarks. A practical approach to the utilization of incomplete information in 3-D reconstruction of the hippocampal region , 1992, Journal of Neuroscience Methods.

[22]  L. Wang,et al.  Large Deformation Diffeomorphic Metric Mapping Registration of in-vivo MR Images and Reconstructed 3D Images of Histological Sections , 2009, NeuroImage.

[23]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[24]  David Fofi,et al.  A review of recent range image registration methods with accuracy evaluation , 2007, Image Vis. Comput..