TY - GEN
T1 - BrainPrint
T2 - 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
AU - Wachinger, Christian
AU - Golland, Polina
AU - Reuter, Martin
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84906983119&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-10443-0_6
DO - 10.1007/978-3-319-10443-0_6
M3 - Conference contribution
C2 - 25320780
AN - SCOPUS:84906983119
SN - 9783319104423
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 41
EP - 48
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings
PB - Springer Verlag
Y2 - 14 September 2014 through 18 September 2014
ER -