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FSL-BASED HYBRID ATLAS PROMOTES ACTIVATION WEIGHTED VECTOR ANALYSIS IN FUNCTIONAL NEURORADIOLOGY
Author(s) -
Alberto Arturo Vergani,
Renzo Minotto,
S. Strocchi,
Elisabetta Binaghi
Publication year - 2016
Publication title -
frontiers in neuroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 62
ISSN - 1662-5196
DOI - 10.3389/conf.fninf.2016.20.00077
Subject(s) - atlas (anatomy) , computer science , pattern recognition (psychology) , artificial intelligence , functional magnetic resonance imaging , neuroscience , medicine , psychology , anatomy
The hybrid atlas is the outcome of the joint operation between different brain templates found into the FMRIB Software Library. They are Juelich histological atlas and Harvard-Oxford cortical and subcortical structural atlases. Both are probabilistic labelled and registered in MNI152 space. Juelich model was created by averaging multi-subject post-mortem cyto and myelo-architectonic segmentations, which has detected 52 grey matter structures and 10 white matters ones. Harvard-Oxford models cover 48 cortical and 21 subcortical structural regions, computed by segmentation of T1-weighted images of healthy male and female. The joint process was possible choosing a reference atlas and then adding lacking anatomical structures. In our case, Juelich atlas was the template from which regions dearth were easily included choosing them from Harvard-Oxford atlases. This procedure, shaped with complete or partial union operations, gives rise to an hybrid atlas that covers 161 regions, in which 121 are the 100% of Juelich, and other 40 are a variable percentage of Harvard-Oxford original brain volumes. The benefits of this hybrid atlas are the integration of fundamental neuroanatomy models useful for co-registration that in the standard template were absent, e.g. many frontal and temporal cortexes, subcallosal portions, cingulate gyrus and thalamus halves

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