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Automatic Misalignment Correction in Neuroimages Using Surface Symmetry Priors
Author(s) -
Liu Sheena Xin,
Kender John,
Imielinska Celina,
Laine Andrew
Publication year - 2011
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/j.1552-6569.2011.00577.x
Subject(s) - medicine , orientation (vector space) , prior probability , symmetry (geometry) , artificial intelligence , surface (topology) , computer vision , head (geology) , fully automatic , pattern recognition (psychology) , computer science , bayesian probability , geometry , mathematics , geomorphology , engineering , geology , mechanical engineering
Many brain imaging procedures require the careful alignment of different sets of images obtained in the same individual. The available automatic methods for brain alignment are susceptible to improvement. This paper discusses briefly a new automatic method to reinstall the tilted orientation of head images, using surface symmetry as a prior.

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