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.
From the *Anatom-e Information Systems, Ltd; Departments of †DiagnosticRadiology and ‡Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX; §Natbrainlab, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, King’s College London, London, United Kingdom; ∥INSERM-UPMC UMRS 975, G.H. Pitié-Salpêtrière, Paris, France; and ¶Department of Ophthalmology, The Methodist Hospital, Houston, TX.
Received for publication October 25, 2011; accepted November 1, 2011.
Reprints: L. Anne Hayman, MD, Anatom-e Information Systems, Ltd, 2047 University Blvd, Houston, TX 77030 (e-mail: Anne@Anatom-e.com); Vinodh A. Kumar, MD, Department of Diagnostic Radiology, Unit 1482, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030 (e-mail: firstname.lastname@example.org).
The authors report no conflicts of interest.