Construction of an optimal T1-weighted (T1w) template for older adults often requires selection of a target anatomy for nonlinear-registrations, however a poorly chosen template may introduce bias due to large structural discrepancies between template and subjects used for template construction. Such a bias may introduce misregistration and cause loss of important anatomical details. In addition, large structural brain differences across older adults may introduce registration errors despite using state-of-the-art registration algorithms. The purpose of this work was to construct a minimum deformation T1w template of the older adult brain using a sparse, patch-based, detail-preserving template construction method that minimizes biases.
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