Abstract
This study created and tested a database of adult, age-specific MRI brain and head templates. The participants included healthy adults from 20 through 89 years of age. The templates were done in five-year, 10-year, and multi-year intervals from 20 through 89 years, and consist of average T1W for the head and brain, and segmenting priors for gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). It was found that age-appropriate templates provided less biased tissue classification estimates than age-inappropriate reference data and reference data based on young adult templates. This database is available for use by other investigators and clinicians for their MRI studies, as well as other types of neuroimaging and electrophysiological research.1
Highlights
Morphological and volumetric brain changes that occur with aging are well-documented
The issues associated with using young adult reference data have been documented and studies have shown that study-specific reference data can improve segmentation results (Ashburner and Friston, 2000; Good et al, 2001; Thompson et al, 2001; Huang et al, 2010)
partial volume estimates (PVEs) and binary-segmented images were created for each template from the two different segmentation methods: Image and Montreal Neurological Institute (MNI) priors
Summary
Morphological and volumetric brain changes that occur with aging are well-documented (see Galluzzi et al, 2008 for a recent review). Despite these changes, many studies aimed at identifying volumetric changes use reference data for tissue segmentation solely derived from young adults. We suggest the use of age-specific reference data as an alternative to young adult or study-specific templates. We created and tested a database of age-specific reference templates. Findings suggest that age-specific reference templates can be used to increase segmentation accuracy in developmental neuroscience, neuropsychology and neurology research and clinical practice
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