Deformable anatomic templates embed knowledge into patient’s brain images: Part 1. construction and display

L. Anne Hayman, Vinodh A. Kumar, Jackson Hamilton, Sujit S. Prabhu, Michel Thiebaut de Schotten, Nagham Al-Zubidi, John Pagani,, Mark Vabulas, Megan Groneman, Ashok J. Kumar
Journal of Computer Assisted Tomography. 2012-01-01; 36(3): 354-359
DOI: 10.1097/RCT.0b013e31824d6000

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1. J Comput Assist Tomogr. 2012 May-Jun;36(3):354-9. doi:

Deformable anatomic templates embed knowledge into patient’s brain images: Part
1. Construction and display.

Hayman LA(1), Kumar VA, Hamilton J, Prabhu SS, Thiebaut de Schotten M, Al-Zubidi
N, Pagani J, Vabulas M, Groneman M, Kumar AJ.

Author information:
(1)Anatom-e Information Systems, Ltd,Houston, TX 77030, USA.

OBJECTIVE: This paper describes the methods used to create annotated deformable
anatomic templates (DATs) and display them in a patient’s axial 2-dimensional and
reformatted volume brain images.
METHODS: A senior neuroradiologist annotated and manually segmented 1185
color-coded structures on axial magnetic resonance images of a normal template
brain using domain knowledge from multiple medical specialties. Besides the
visible structures, detailed pathways for vision, speech, cognition, and movement
were charted. This was done by systematically joining visible anatomic anchor
points and selecting the best fit based on comparisons with cadaver dissections
and the constraints defined on the companion 2-dimensional images.
RESULTS: The DAT is commercially available for use on a picture archiving and
communication system or as a standalone workstation.
CONCLUSIONS: The DAT can quickly embed extensive, clinically useful functional
neuroanatomic knowledge into the patient’s brain images. Besides labeling visible
structures, DAT displays clinically important, previously uncharted subdivisions
of the fiber tracts.

DOI: 10.1097/RCT.0b013e31824d6000
PMID: 22592623 [Indexed for MEDLINE]

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