Multimodality multidimensional image analysis of cortical and subcortical plasticity in the rat brain

In this work, we developed and implemented a multimodality multidimensional imaging system which is capable of generating and displaying anatomical and functional images of selected structures and processes within a vertebrate's central nervous system (CNS). The functional images are generated from [14C]-2-deoxy-d-glucose (2DG) autoradiography whereas the anatomic images are derived from cytochrome oxidase (CO) histochemistry. This multi-modality imaging system has been used to study mechanisms underlying information processing in the rat brain. We have applied this technique to visualize and measure the plasticity (deformation) observed in the rat's whisker system due to neonatal lesioning of selected peripheral sensory organs. Application of this imaging system revealed detailed information about the shape, size, and directionality of selected cortical and subcortical structures. Previous 2-D imaging techniques were unable to deliver such holistic information. Another important issue addressed in this work is related to image registration problems. We developed an image registration technique which employs extrinsic fiduciary marks for alignment and is capable of registering images with subpixel accuracy. It uses the information from all available fiduciary marks to promote alignment of the sections and to avoid propagation of errors across a serial data set.

[1]  Alan C. Evans,et al.  Anatomical-Functional Correlative Analysis Of The Human Brain Using Three Dimensional Imaging Systems , 1989, Medical Imaging.

[2]  P. Schönemann,et al.  A generalized solution of the orthogonal procrustes problem , 1966 .

[3]  J. Greenberg,et al.  Single vibrissal cortical column in SI cortex of rat and its alterations in neonatal and adult vibrissa-deafferented animals: a quantitative 2DG study. , 1988, Journal of neurophysiology.

[4]  J. H. Nagel,et al.  Fast multimodality image matching , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

[6]  P. Hand,et al.  The 2-Deoxyglucose Method , 1981 .

[7]  O. J. Tretiak Geometrical matching of images: potential functions and moments , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[8]  Anthony Apicella,et al.  Fast Multi-Modality Image Matching , 1989, Medical Imaging.

[9]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[10]  S. Ogawa,et al.  Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields , 1990, Magnetic resonance in medicine.

[11]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Arthur W. Toga,et al.  Image Analysis of Brain Physiology , 1985, IEEE Computer Graphics and Applications.

[13]  R. Bajcsy,et al.  A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. , 1983, Journal of computer assisted tomography.

[14]  R. Sibson Studies in the Robustness of Multidimensional Scaling: Procrustes Statistics , 1978 .

[15]  C. Pelizzari,et al.  Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain , 1989, Journal of computer assisted tomography.

[16]  G. H. A. Clowes On reversible emulsions and the role played by electrolytes in determining the equilibrium of aqueous oil systems , 1913 .

[17]  Robert C. Bolles,et al.  Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching , 1977, IJCAI.

[18]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using unit quaternions , 1987 .

[19]  D. Kleinfeld,et al.  Anatomical and functional imaging of neurons using 2-photon laser scanning microscopy , 1994, Journal of Neuroscience Methods.

[20]  David J. Burr,et al.  Elastic Matching of Line Drawings , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  M. Wong-Riley Changes in the visual system of monocularly sutured or enucleated cats demonstrable with cytochrome oxidase histochemistry , 1979, Brain Research.

[22]  Gunilla Borgefors,et al.  Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  M. Reivich,et al.  THE [14C]DEOXYGLUCOSE METHOD FOR THE MEASUREMENT OF LOCAL CEREBRAL GLUCOSE UTILIZATION: THEORY, PROCEDURE, AND NORMAL VALUES IN THE CONSCIOUS AND ANESTHETIZED ALBINO RAT 1 , 1977, Journal of neurochemistry.

[24]  Alberto F. Goldszal,et al.  Three-Dimensional Reconstruction of Activated Columns from 2-[14C]Deoxy-d-glucose Data , 1995, NeuroImage.

[25]  R A Robb,et al.  Interactive display and analysis of 3-D medical images. , 1989, IEEE transactions on medical imaging.

[26]  L S Hibbard,et al.  Three-dimensional reconstruction of metabolic data from quantitative autoradiography of rat brain. , 1984, The American journal of physiology.

[27]  A. H. Reisner,et al.  Two- and three-dimensional image reconstructions from stained and autoradiographed histological sections , 1990, Comput. Appl. Biosci..