Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging

N. Walters, Mark Jenkinson, M. Kean, J. D. Watson, G. F. Egan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The study of individual variation in brain anatomy has been neglected by most researchers in the functional brain imaging field. Almost all results of functional imaging experiments are referenced to standard atlases or "average" anatomical features. We believe that individual variation will inform us of crucial structural, developmental and functional aspects of the human brain, particularly with the rapidly expanding knowledge of the human genome. As a first step towards this we describe a non-invasive method of generating high resolution unique anatomical atlases for each subject in an experimental group using magnetic resonance imaging (MRI). Essentially, the method enables images of partial brain regions from multiple imaging sessions to be progressively combined into a high resolution neuroanatomical atlas. In this way, a single high resolution brain volume can be built up like "patchwork" from separate partial brain volumes. This will allow precise localisation and correlation of functional results and we believe will be hypothesis-generating in the areas of developmental, neurobiology and clinical neuroscience.

LanguageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Subtitle of host publicationComputational Intelligence for the E-Age
EditorsJagath C. Rajapakse, Xin Yao, Lipo Wang, Kunihiko Fukushima, Soo-Young Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages193-196
Number of pages4
Volume1
ISBN (Electronic)9810475241, 9789810475246
DOIs
Publication statusPublished - 1 Jan 2002
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 18 Nov 200222 Nov 2002

Other

Other9th International Conference on Neural Information Processing, ICONIP 2002
CountrySingapore
CitySingapore
Period18/11/0222/11/02

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

Cite this

Walters, N., Jenkinson, M., Kean, M., Watson, J. D., & Egan, G. F. (2002). Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. In J. C. Rajapakse, X. Yao, L. Wang, K. Fukushima, & S-Y. Lee (Eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (Vol. 1, pp. 193-196). [1202158] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1202158
Walters, N. ; Jenkinson, Mark ; Kean, M. ; Watson, J. D. ; Egan, G. F. / Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. editor / Jagath C. Rajapakse ; Xin Yao ; Lipo Wang ; Kunihiko Fukushima ; Soo-Young Lee. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2002. pp. 193-196
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Walters, N, Jenkinson, M, Kean, M, Watson, JD & Egan, GF 2002, Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. in JC Rajapakse, X Yao, L Wang, K Fukushima & S-Y Lee (eds), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. vol. 1, 1202158, Institute of Electrical and Electronics Engineers Inc., pp. 193-196, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 18/11/02. https://doi.org/10.1109/ICONIP.2002.1202158

Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. / Walters, N.; Jenkinson, Mark; Kean, M.; Watson, J. D.; Egan, G. F.

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. ed. / Jagath C. Rajapakse; Xin Yao; Lipo Wang; Kunihiko Fukushima; Soo-Young Lee. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2002. p. 193-196 1202158.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The study of individual variation in brain anatomy has been neglected by most researchers in the functional brain imaging field. Almost all results of functional imaging experiments are referenced to standard atlases or "average" anatomical features. We believe that individual variation will inform us of crucial structural, developmental and functional aspects of the human brain, particularly with the rapidly expanding knowledge of the human genome. As a first step towards this we describe a non-invasive method of generating high resolution unique anatomical atlases for each subject in an experimental group using magnetic resonance imaging (MRI). Essentially, the method enables images of partial brain regions from multiple imaging sessions to be progressively combined into a high resolution neuroanatomical atlas. In this way, a single high resolution brain volume can be built up like "patchwork" from separate partial brain volumes. This will allow precise localisation and correlation of functional results and we believe will be hypothesis-generating in the areas of developmental, neurobiology and clinical neuroscience.

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Walters N, Jenkinson M, Kean M, Watson JD, Egan GF. Development of in vivo high resolution individual based neuroanatomical atlases using magnetic resonance imaging. In Rajapakse JC, Yao X, Wang L, Fukushima K, Lee S-Y, editors, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2002. p. 193-196. 1202158 https://doi.org/10.1109/ICONIP.2002.1202158