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SPL-PNL Brain Atlas

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Resource Type

  1. Software


  1. Resource Description
    The initial version of the SPL-PNL Brain Atlas was developed by the Surgical Planning Laboratory in collaboration with the Harvard Neuroscience Laboratory at Brockton VA Medical Center. Dr. Martha Shenton, one of the original people involved with the Harvard Neuroscience Laboratory, is now the Director of the Psychiatry Neuroimaging Laboratory (PNL), Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School. The atlas was derived from a volumetric T1-weighted MR-scan of a healthy volunteer, using semi-automated image segmentation and three-dimensional reconstruction techniques. Over the years, the original atlas has undergone several revisions. The current version consists of: 1. the original volumetric whole brain MRI of a healthy volunteer; 2. a set of detailed label maps; 3. 160+ three-dimensional models of the labeled anatomical structures; 4. a mrml-file that allows loading all of the data into the 3D-Slicer for visualization (see the tutorial associated with the atlas); 5. several pre-defined 3D-views for the motor, visual and limbic systems, diencephalon, brain stem, and left cerebral hemisphere. The SPL-PNL Brain Atlas provides important reference information for surgical planning. It has been used for template-driven segmentation and also as a powerful neuroanatomy teaching tool. Visualization of the data requires Slicer3. This software package can be downloaded from here. We are pleased to make this brain atlas available to our colleagues for free download. Please note that the data is being distributed under the Slicer license. By downloading these data, you agree to acknowledge our contribution in any of your publications that result form the use of this atlas. Please acknowledge the following grants: P41 RR13218, R01 MH050740.
  2. Used by
    Surgical Planning Laboratory (BWH)
  3. Website(s)
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Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016