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Cited by 353

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3D brain mapping using a deformable neuroanatomy

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Christensen, G E, Rabbitt, R D, Miller, M I·1994·Physics in Medicine and Biology

Abstract

This paper presents two different mathematical methods that can be used separately or in conjunction to accommodate shape variabilities between normal human neuroanatomies. Both methods use a digitized textbook to represent the complex structure of a typical normal neuroanatomy. Probabilistic transformations on the textbook coordinate system are defined to accommodate shape differences between the textbook and images of other normal neuroanatomies. The transformations are constrained to be consistent with the physical properties of deformable elastic solids in the first method and those of viscous fluids in the second. Results presented in this paper demonstrate how a single deformable textbook can be used to accommodate normal shape variability.

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Metadata

Authors
Christensen, G. E., Rabbitt, R. D., & Miller, M. I.
Venue
Physics in Medicine and Biology
Published
1994-03-01
Volume
39
Issue
3
Pages
609-618
ISSN
  • 0031-9155 (ISSN-L)
  • 1361-6560
OpenAlex
W2069456254
Cited by
353
References
0
FWCI
16.71
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: 3D brain mapping using a deformable neuroanatomy. https://app.cochat.ai/papers/10.1088/0031-9155/39/3/022
The paper
Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (1994). 3D brain mapping using a deformable neuroanatomy. Physics in Medicine and Biology. https://doi.org/10.1088/0031-9155/39/3/022

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.