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.

Keywords

NeuroanatomyComputer scienceProbabilistic logicArtificial intelligenceConjunction (astronomy)Coordinate systemComputer visionAnatomyPhysics

MeSH Terms

AlgorithmsAnimalsBrainBrain MappingHumansImage ProcessingComputer-AssistedImagingThree-DimensionalMagnetic Resonance ImagingModelsStatisticalModelsTheoreticalNeuronsTime Factors

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Publication Info

Year
1994
Type
article
Volume
39
Issue
3
Pages
609-618
Citations
356
Access
Closed

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Cite This

Gary E. Christensen, Richard D. Rabbitt, Michael I. Miller (1994). 3D brain mapping using a deformable neuroanatomy. Physics in Medicine and Biology , 39 (3) , 609-618. https://doi.org/10.1088/0031-9155/39/3/022

Identifiers

DOI
10.1088/0031-9155/39/3/022
PMID
15551602

Data Quality

Data completeness: 81%