Meeting Banner
Abstract #1921

Construction of an unbiased high resolution and detail-preserving structural T1-weighted template for use in studies on older adults

Abdur Raquib Ridwan1, Yingjuan Wu1, Mohammad Rakeen Niaz1, David A. Bennett2, and Konstantinos Arfanakis1,2
1BIOMEDICAL ENGINEERING, ILLINOIS INSTITUTE OF TECHNOLOGY, Chicago, IL, United States, 2Rush Alzheimer’s Disease Center, RUSH UNIVERSITY MEDICAL CENTER, Chicago, IL, United States

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here