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Published in:
2014 | OriginalPaper | Chapter
BrainPrint : Identifying Subjects by Their Brain
Authors : Christian Wachinger, Polina Golland, Martin Reuter
Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
Publisher: Springer International Publishing
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Introducing
BrainPrint
, a compact and discriminative representation of anatomical structures in the brain.
BrainPrint
captures shape information of an ensemble of cortical and subcortical structures by solving the 2D and 3D Laplace-Beltrami operator on triangular (boundary) and tetrahedral (volumetric) meshes. We derive a robust classifier for this representation that identifies the subject in a new scan, based on a database of brain scans. In an example dataset containing over 3000 MRI scans, we show that
BrainPrint
captures unique information about the subject’s anatomy and permits to correctly classify a scan with an accuracy of over 99.8%. All processing steps for obtaining the compact representation are fully automated making this processing framework particularly attractive for handling large datasets.