Skip to main content

Brain Spatial Normalization

Indexing Neuroanatomical Databases

  • Protocol
Neuroinformatics

Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 401))

  • 1059 Accesses

Summary

Neuroanatomical informatics, a subspecialty of neuroinformatics, focuses on technological solutions to neuroimage database access. Its current main goal is an image-based query system that is able to retrieve imagery based on anatomical location. Here, we describe a set of tools that collectively form such a solution for sectional material and that are available to investigators to use on their own data sets. The system accepts slide images as input and yields a matrix of transformation parameters that map each point on the input image to a standardized 3D brain atlas. In essence, this spatial normalization makes the atlas a spatial indexer from which queries can be issued simply by specifying a location on the reference atlas. Our objective here is to familiarize potential users of the system with the steps required of them as well as steps that take place behind the scene. We detail the capabilities and the limitations of the current implementation and briefly describe the enhancements planned for the near future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bug, W., and Nissanov, J. (2003) A guide to building image centric databases. Neuroinformatics 1, 359–77.

    Article  PubMed  Google Scholar 

  2. Baldock, R. A., Bard, J. B., Burger, A., Burton, N., Christiansen, J., Feng, G., Hill, B., Houghton, D., Kaufman, M., Rao, J., Sharpe, J., Ross, A., Stevenson, P., Venkataraman, S., Waterhouse, A., Yang, Y., and Davidson, D. R. (2003) EMAP and EMAGE: a framework for understanding spatially organized data. Neuroinformatics 1, 309–25.

    Article  PubMed  Google Scholar 

  3. Ma, Y., Hof, P. R., Grant, S. C., Blackband, S. J., Bennett, R., Slatest, L., McGuigan, M. D., and Benveniste, H. (2005) A three-dimensional digital atlas database of the adult C57BL/6J mouse brain by magnetic resonance microscopy. Neuroscience 135, 1203–15.

    Article  CAS  PubMed  Google Scholar 

  4. MacKenzie-Graham, A., Jones, E. S., Shattuck, D. W., Dinov, I. D., Bota, M., and Toga, A. W. (2003) The informatics of a C57BL/6J mouse brain atlas. Neuroinformatics 1, 397–410.

    Article  PubMed  Google Scholar 

  5. The PostgreSQL Relational Database Management System. Available at http://www.postgresql.org/.

    Google Scholar 

  6. Shannon, B. (ed.) (2003) Java trademark 2 Platform Enterprise Edition Specification, v1.4 (final edition), Sun Microsystems, Santa Clara, CA.

    Google Scholar 

  7. Gefen, S., Tretiak, O., Bertrand, L., and Nissanov, J. (2003) Mouse brain spatial normalization: the challenge of sparse data, in Biomedical Image Registration (Gee, J. C., Maintz, J. B. A., and Vannier, M. W., eds), Springer, New York, 349–357.

    Chapter  Google Scholar 

  8. Rosen, G. D., La Porte, N. T., Diechtiareff, B., Pung, C. J., Nissanov, J., Gustafson, C., Bertrand, L., Gefen, S., Fan, Y., Tretiak, O. J., Manly, K. F., Park, M. R., Williams, A. G., Connolly, M. T., Capra, J. A., and Williams, R. W. (2003) Informatics center for mouse genomics: the dissection of complex traits of the nervous system. Neuroinformatics 1, 327–42.

    Article  PubMed  Google Scholar 

  9. Nissanov, J., Bertrand, L., Gefen, S., Bakare, P., Kane, C., Gross, K., and Baird, D. (2006) Cryoplane Fluorescence Microscopy, Proceedings of the 24th IASTED International Conference on Biomedical Engineering, Innsbruck, Austria International Association Of Science And Technology for Development, 362–366.

    Google Scholar 

  10. Toga, A. W., Rex, D.E., and Ma, J. (2001) A Graphical Interoperable Processing Pipeline, 7th Annual Meeting of the Organization for Human Brain Mapping, NeuroImage Abstracts.

    Google Scholar 

  11. Fissell, K., Tseytlin, E., Cunningham, D., Iyer, K., Carter, C. S., Schneider, E., and Cohen, J. D. (2003) Fiswidgets: a graphical computing environment for neuroimaging analysis. Neuroinformatics 1, 111–26.

    Article  PubMed  Google Scholar 

  12. Rajasekar, A. K., and Wan, M. (2002) SRB&SRB Rack – Components of a Virtual Data Grid Architecture, Advanced Simulation Technologies Conference (ASTC), San Diego, CA.

    Google Scholar 

  13. Woods, R. P., Cherry, S. R., and Mazziotta, J. C. (1992) Rapid automated algorithm for aligning and reslicing PET images. J Comput Assist Tomogr 16, 620–33.

    Article  CAS  PubMed  Google Scholar 

  14. Ibanez, L., Schroeder, W., Ng, L., and Cates, J. (2003) Insight Segmentation and Registration Toolkit (ITK) Software Guide, Kitware Inc., New York, NY.

    Google Scholar 

  15. Novotny, J., Russell, M., and Wehrens, O. (2004) GridSphere: an advanced portal framework, IEEE Proceedings of the 30th Euromicro Conference (EUROMICRO’04), 412–419.

    Google Scholar 

  16. Arnold, D., and Dongarra, J (2000) The NetSolve Environment: Progressing Towards the Seamless Grid, 2000 International Conference on Parallel Processing (ICPP), Toronto, Canada.

    Google Scholar 

  17. DeMichiel, L., Keith, M., and Expert Group (2006) JSR 220: Enterprise JavaBeans trademark 3.0 Specification, final release.

    Google Scholar 

  18. Hepper, S. and Expert Group (Oct 2003) JSR 168: Portlet Specification, final.

    Google Scholar 

  19. Litzkow, M. J., Livny, M., Mutka, M. W. (1998) Condor-a hunter of idle workstations, IEEE Proceedings of the 8th International Conference on Distributed Computing Systems, 104–111.

    Google Scholar 

  20. Altintas, I., Berkley, C., Jaeger, M., Jones, B., Ludascher, B., and Mock, S. (2004) Kepler: An Extensible System for Design and Execution of Scientific Workflows, 16th International Conference on Scientific and Statistical Database Management (SSDBM), Santorini Island, Greece.

    Google Scholar 

  21. Powers, S., Peek, J., O’Reilly, T., and Loukides, M. (2002) Unix Power Tools,Third Edition, O’Reilly Media, Sebastopol, CA.

    Google Scholar 

  22. Van Balen, R., Koelma, D., Ten Kate, T. K., Mosterd, B., and Smeulders, A. W. M. (1994) ScilImage: a multi-layered environment for use and development of image processing software, in Experimental Environments for Computer Vision & Image Processing (Christensen, H. I. and Crowley, J. L., eds), Series in Machine Perception and Artificial Intelligence, v11, World Scientific Publishing (UK) Ltd. London: UK, 107–26.

    Google Scholar 

  23. Toga, A. W., and Thompson, P. M. (1999) An introduction to brain warping, in Brain Warping (Toga, A. W., ed.), Academic Press, New York, pp. 1–26.

    Chapter  Google Scholar 

  24. Gefen, S., Bertrand, L., Kiryati, N., and Nissanov, J. (2005) Localization of Sections Within the Brain via 2D to 3D Image Registration, IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), Philadelphia, PA.

    Google Scholar 

  25. Gefen, S., Fan, Y., Bertrand, L., and Nissanov, J. (2004) Symmetry-Based 3D Brain Reconstruction, IEEE International Symposium on Biomedical Imaging (ISBI): Macro to Nano, Washington DC. v1, 744–747.

    Google Scholar 

  26. Kim, B., Boes, J. L., Frey, K. A., and Meyer, C. R. (1997) Mutual information for automated unwarping of rat brain autoradiographs. Neuroimage 5, 31–40.

    Article  CAS  PubMed  Google Scholar 

  27. Ourselin, S., Roche, A., Subsol, G., Pennec, X., and Ayache, N. (2000) Reconstructing a 3D structure from Serial Histological Sections. Image Vis Comput 19, 25–31.

    Article  Google Scholar 

  28. McGlone, J. S., Hibbard, L. S., and Hawkins, R. A. (1987) A computerized system for measuring cerebral metabolism. IEEE Trans Biomed Eng 34, 704–12.

    Article  CAS  PubMed  Google Scholar 

  29. Nissanov, J., and McEachron, D. L. (1991) Advances in image processing for autoradiography. J Chem Neuroanat 4, 329–42.

    Article  CAS  PubMed  Google Scholar 

  30. Shormann, T., and Zilles, K. (1997) Limitations of the principal-axes theory. IEEE Trans Med Imaging 16, 942–47.

    Article  Google Scholar 

  31. Kozinska, D., Tretiak, O. J., Nissanov, J., and Ozturk, C. (1997) Multidimentional alignment using the euclidean distance transform. Graphical Model Image Processing 59, 373–87.

    Article  Google Scholar 

  32. Gefen, S., Tretiak, J. O., Bertrand, L., Rosen, G. D., and Nissanov, J. (2004) Surface alignment of an elastic body using a multi-resolution wavelet representation. IEEE Trans Biomed Eng 51, 1230–41.

    Article  PubMed  Google Scholar 

  33. Gustafson, C., Tretiak, O., Bertrand, L., and Nissanov, J. (2004) Design and implementation of software for assembly and browsing of 3D brain atlases. Comput Methods Programs Biomed 74, 53–61.

    Article  PubMed  Google Scholar 

  34. Martone, M. E., Gupta, A., and Ellisman, M. H. (2004) e-neuroscience: challenges and triumphs in integrating distributed data from molecules to brains. Nat Neurosci 7, 467–72.

    Article  CAS  PubMed  Google Scholar 

  35. MacKenzie-Graham, A., Lee, E. F., Dinov, I. D., Bota, M., Shattuck, D. W., Ruffins, S., Yuan, H., Konstantinidis, F., Pitiot, A., Ding, Y., Hu, G., Jacobs, R. E., and Toga, A. W. (2004) A multimodal, multidimensional atlas of the C57BL/6J mouse brain. J Anat 204, 93–102.

    Article  PubMed  Google Scholar 

  36. Siddiqui, A. S., Khattra, J., Delaney, A. D., Zhao, Y., Astell, C., Asano, J., Babakaiff, R., Barber, S., Beland, J., Bohacec, S., Brown-John, M., Chand, S., Charest, D., Charters, A. M., Cullum, R., Dhalla, N., Featherstone, R., Gerhard, D. S., Hoffman, B., Holt, R. A., Hou, J., Kuo, B. Y., Lee, L. L., Lee, S., Leung, D., Ma, K., Matsuo, C., Mayo, M., McDonald, H., Prabhu, A. L., Pandoh, P., Riggins, G. J., de Algara, T. R., Rupert, J. L., Smailus, D., Stott, J., Tsai, M., Varhol, R., Vrljicak, P., Wong, D., Wu, M. K., Xie, Y. Y., Yang, G., Zhang, I., Hirst, M., Jones, S. J., Helgason, C. D., Simpson, E. M., Hoodless, P. A., and Marra, M. A. (2005) A mouse atlas of gene expression: large-scale digital gene-expression profiles from precisely defined developing C57BL/6J mouse tissues and cells. Proc Natl Acad Sci USA 102, 18485–90.

    Article  CAS  PubMed  Google Scholar 

  37. Lein, E. S., Zhao, X., and Gage, F. H. (2004) Defining a molecular atlas of the hippocampus using DNA microarrays and high-throughput in situ hybridization. J Neurosci 24, 3879–89.

    Article  CAS  PubMed  Google Scholar 

  38. Zapala, M. A., Hovatta, I., Ellison, J. A., Wodicka, L., Del Rio, J. A., Tennant, R., Tynan, W., Broide, R. S., Helton, R., Stoveken, B. S., Winrow, C., Lockhart, D. J., Reilly, J. F., Young, W. G., Bloom, F. E., and Barlow, C. (2005) Adult mouse brain gene expression patterns bear an embryologic imprint. Proc Natl Acad Sci USA 102, 10357–62.

    Article  CAS  PubMed  Google Scholar 

  39. Singh, R. P., Brown, V. M., Chaudhari, A., Khan, A. H., Ossadtchi, A., Sforza, D. M., Meadors, A. K., Cherry, S. R., Leahy, R. M., and Smith, D. J. (2003) High-resolution voxelation mapping of human and rodent brain gene expression. J Neurosci Methods 125, 93–101.

    Article  CAS  PubMed  Google Scholar 

  40. Gong, S., Zheng, C., Doughty, M. L., Losos, K., Didkovsky, N., Schambra, U. B., Nowak, N. J., Joyner, A., Leblanc, G., Hatten, M. E., and Heintz, N. (2003) A gene expression atlas of the central nervous system based on bacterial artificial chromosomes. Nature 425, 917–25.

    Article  CAS  PubMed  Google Scholar 

  41. Christensen, E., Curbera, F., Meredith, G., and Weerawarana, S. (2001) Web Services Description Language (WSDL) v1.0. Available at http://www.w3.org/TR/wsdl.

    Google Scholar 

  42. Feng, G., Burton, N., Hill, B., Davidson, D., Kerwin, J., Scott, M., Lindsay, S., and Baldock, R. (2005) JAtlasView: a Java atlas-viewer for browsing biomedical 3D images and atlases. BMC Bioinformatics 6, 47.

    Article  PubMed  Google Scholar 

  43. Wetzel, A. W., Ade, A., Bookstein, F., Green, W., and Athey, B. (2000) Representation and Performance Issues in Navigating Visible Human Datasets, The Third Visible Human Project Conference, Bethesda, MD.

    Google Scholar 

  44. Pieper, S., Halle, M., and Kikinis, R. (2004) 3D Slicer, IEEE International Symposium on Biomedical Imaging (ISBI): Macro to Nano, Washington DC, v1, 632–635.

    Google Scholar 

  45. Eaton, R. C., and Hackett, J. T. (1984) The role of the Mauthner cell in fast-starts involving escape in teleost fishes, in Neural Mechanisms of Startle Behavior (Eaton, R. C., ed.), Plenum Press, New York, pp. 213–66.

    Google Scholar 

  46. Gustafson, C., Bug, W. J., Nissanov, J. (2007) NeuroTerrain–a client-server system for browsing 3D biomedical image data sets. BMC Bioinformatics, 8, 40–55.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Humana Press Inc.

About this protocol

Cite this protocol

Bug, W. et al. (2007). Brain Spatial Normalization. In: Neuroinformatics. Methods in Molecular Biology™, vol 401. Humana Press. https://doi.org/10.1007/978-1-59745-520-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-59745-520-6_13

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-720-4

  • Online ISBN: 978-1-59745-520-6

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics