Abstract
Composite brain images take on numerous forms; the simplest is a group-average image, the backbone of cerebral blood-flow (CBF) that can be studied using positron emission tomography (PET). Composite brain images are needed to represent population characteristics, individual brain images are required to diagnose and track brain problems in individual patients, i.e., they are the core of clinical decision making. A standard brain space is needed for consistent spatial localization in both individual and composite images, and this is provided by the Talairach space. A transformation process called spatial normalization (SN) is used to account for these differences by matching a set of brain features derived from a standard brain. Brain position, orientation, and size provide the minimal set of global spatial features for spatial normalization in three-dimensions. Spatial normalization has subsequently been validated for use in high-resolution anatomical magnetic resonance (MR) images. Statistical models of anatomical and functional variability are available for use in Talairach space, providing insight for both individual and population studies of the brain. Talairach coordinates are commonly used to obtain labels for typical anatomical and functional areas from the Talairach atlas.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
