Abstract
The purpose of this paper is to review the past and present work in Digital Anatomy of the Human Brain and the registration methods developed for its use, then to extrapolate where the new open problems are, as well as the opportunities in this field. Of course, it will be a very personal review with the focus of my work and of my collaborators with reference to the many others who built upon this early effort.
This paper is dedicated with deep appreciation to all my former students, collaborators and researchers who use information technology to make the lives of others better.
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References
Taylor, A., Peter, K., Alan, S., Ruzena, B., Martin, R.: Computer Assisted Analysis of Tomographic Images of the Brain. Journal of Computer Assisted Tomography 5(6), 929–932 (1981)
Daniel, A., James, G., Ruzena, B.: Similarity Measures for Matching Diffusion Tensor Images, University of Pennsylvania, Philadelphia, PA, pp. 93–102
Ruzena, B., Robert, L., Martin, R.: A Computerized System for the Elastic Matching of Deformed Radiographic Images to Idealized Atlas Images. Journal of Computer Assisted Tomography 7(4), 618–625 (1983)
Ruzena, B.: Three-Dimensional Analysis and Display of Medical Images. Positron Emission Tomography, 119–129 (1985)
Bookstein, F.L.: Principal warps: Thin-plate splines and the decomposition of deformations. IEEE PAMI 11(6), 567–585 (1989)
Briot, C.: Optimal Registration of Deformed Images. PhD dissertation, Computer and Information Science Department, University of Pennsylvania, Philadelphia (1981)
Robert, D., John, H., Stane, K., Martin, R., Ruzena, B.: Evaluation of Elastic Matching System for Anatomic (CT, MR) and Functional (PET) Cerebral Images. Journal of Computer Assisted Tomography 13(4), 603–611 (1989)
Gee, J.C., Le Briquer, L., Barillot, C., Haynor, D.R.: Probabilistic Matching of Brain Images. In: Proceedings of the XIVth International Conference on Information Processing in Medical Imaging, Ile de Berder, France, June 26-30 (1995)
Greitz, T., Bohm, C., Holte, S., Eriksson, L.: A computerized brain atlas: construction, anatomical content and some applications. Journal of Computer Assisted Tomography 15, 26–38 (1991)
Kikinas, et al. A Digital Brain Atlas for Surgical Planning, Model Driven Segmentation and Teaching. IEEE Transactions on Visualization and Computer Graphics 2(3) (September 1996), http://splweb.bwh.harvard.edu:8000/pages/papers/AnatomyBrowser/current/
John, M., Stephen, K.: Assessment of Goals and Obstacles in Data Acquisition and Analysis from Emission Tomography: Report of a Series of International Workshops. Journal of Cerebral Blood Flow and Metabolism 7, S1-S31 (1987)
Michael, M., Alain, T., Laurent, Y.: On the Metrics and Euler-Lagrange Equations of Computational Anatomy. Annual Rev. Biomed. Eng. 4, 375–405 (2002)
Narr, K.L., Thompson, P.M., Sharma, T., Moussai, J., Zoumalan, C.I., Rayman, J., Mazziotta, J.C., Toga, A.W. (Schizophrenia Atlas Team).: Disease-Specific Atlases of the Human Brain. Laboratory of Neuro Imaging, Dept. Neurology, Division of Brain Mapping, UCLA School of Medicine, Los Angeles, CA
Pierpaoli, C., Basser, P.J.: Toward a Quantitative Assessment of Diffusion Anisotrophy. Magnetic Resonance Medicine 36, 893–906 (1996)
Schaltenbrand, G., Wahren, W.: Atlas for Stereotaxy of the Human Brain. Chicago, Yearbook (1977)
Talairach, J., Szikla, G., Tournoux, P., et al.: Atlas d’anatomie stereotaxique du telecephale, Paris, Masson (1967)
Talairach, J., Tournoux, P.: Referentially oriented cerebral MRI Anatomy: an atlas of stereotaxic anatomical correlations for gray and white matter. Stuttgart, Thieme (1993)
Thompson, P.M., Mega, M.S., Dinov, I.D., Zoumalan, C.I., Lindshield, C.J., Blanton, R.E., Moussai, J., Woods, R.P., Mazziotta, J.C., Cummings, J.L., Toga, A.W.: Disease-Specific Atlases of the Human Brain. Laboratory of Neuro Imaging, Dept. Neurology, Division of Brain Mapping, UCLA School of Medicine, Los Angeles, CA
Thompson, P.M., Toga, A.W.: Detection, Visualization and Animation of Abnormal Anatomic Structure with a Deformable Probabilistic Brain Atlas Based on Random Vector Field Transformations, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA
Mette, W., Henrik, L., Van Wedeen: Fiber Crossing in Human Brain Depicted with Diffusion Tensor MR Imaging. Radiology  217(3), 897–903 (2000)
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Bajcsy, R. (2003). Digital Anatomy Atlas and Its Registration to MRI, fMRI, PET: The Past Presents a Future. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_21
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DOI: https://doi.org/10.1007/978-3-540-39701-4_21
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